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ब्लॉग पोस्ट [इस बारे में ज़्यादा जानकारी के लिए, Google Keyword ब्लॉग और Google AI ब्लॉग पर जाएं]
3 ways AI is scaling helpful technologies worldwideby Jeff Dean
Google Keyword Blog | 2-Nov-2022
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ब्लॉग पोस्ट
Democratizing access to healthby Karen DeSalvo
Google Keyword Blog | 27-Oct-2022
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ब्लॉग पोस्ट
How AI can help in the fight against breast cancerby Nicole Linton
Google Keyword Blog | 21-Oct-2022
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ब्लॉग पोस्ट
Google Assistant offers information and hope for Breast Cancer Awareness Monthby Riva Sciuto
Google Keyword Blog | 19-Oct-2022
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ब्लॉग पोस्ट
Our work toward health equityby Ivor Horn
Google Keyword Blog | 12-Sep-2022
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ब्लॉग पोस्ट
Dr. Von Nguyen’s temperature check on public healthby Lauren Winer
Google Keyword Blog | 25-Aug-2022
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ब्लॉग पोस्ट
Suicide prevention resources on Google Searchby Anne Merritt
Google Keyword Blog | 20-Jul-2022
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ब्लॉग पोस्ट
Mental health resources you can count onby Megan Jones Bell
Google Keyword Blog | 17-May-2022
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ब्लॉग पोस्ट
Raising awareness of the dangers of fentanylby Megan Jones Bell & Garth Graham
Google Keyword Blog | 10-May-2022
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ब्लॉग पोस्ट
The Check Up: our latest health AI developmentsby Greg Corrado
Google AI Blog | 24-Mar-2022
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ब्लॉग पोस्ट
The Check Up: helping people live healthier livesby Karen DeSalvo
Google Keyword Blog | 24-Mar-2022
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ब्लॉग पोस्ट
Our FHIR SDK for Android Developersby Katherine Chou & Sudhi Herle
Android Developers Blog | 24-Mar-2022
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ब्लॉग पोस्ट
Extending Care Studio with a new healthcare partnershipby Paul Muret
Google Keyword Blog | 15-Mar-2022
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ब्लॉग पोस्ट
Take a look at Conditions, our new feature in Care Studioby Paul Muret
Google Keyword Blog | 8-Mar-2022
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ब्लॉग पोस्ट
Google Research: Themes from 2021 and Beyondby Jeff Dean
Google Research Blog | 11-Jan-2022
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ब्लॉग पोस्ट
Working with the WHO to power digital health appsby Fred Hersch & Jing Tang
Google Keyword Blog | 8-Dec-2021
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ब्लॉग पोस्ट
Making healthcare options more accessible on Searchby Hema Budaraju
Google Keyword Blog | 2-Dec-2021
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ब्लॉग पोस्ट
HLTH: Building on our commitments in healthby Karen DeSalvo
Google Keyword Blog | 17-Oct-2021
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ब्लॉग पोस्ट
When it comes to mental health, what are we searching for?by Alicia Cormie
Google Keyword Blog | 6-May-2021
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ब्लॉग पोस्ट
Dr. Ivor Horn talks about technology and health equityby Alicia Cormie
Google Keyword Blog | 16-Apr-2021
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ब्लॉग पोस्ट
Our Care Studio pilot is expanding to more cliniciansby Paul Muret
Google Keyword Blog | 23- Feb-2021
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ब्लॉग पोस्ट
Google Research: Looking Back at 2020, and Forward to 2021by Jeff Dean
Google Research Blog | 12-Jan-2021
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ब्लॉग पोस्ट
A new Google Search tool to support women with postpartum depressionby David Feinberg
LinkedIn Blog | 8-Dec-2020
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ब्लॉग पोस्ट
Prepare for medical visits with help from Google and AHRQby Dave Greenwood
Google Keyword Blog | 2-Dec-2020
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ब्लॉग पोस्ट
A Collaborative Approach to Shaping Successful UX Critique Practicesby Anna Lurchenko
Google Design Blog | 29-Jul-2020
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ब्लॉग पोस्ट
Learn more about anxiety with a self-assessment on Searchby Daniel Gillison, Jr
Google Keyword Blog | 28-May-2020
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ब्लॉग पोस्ट
Google Research: Looking Back at 2019, and Forward to 2020 and Beyondby Jeff Dean
Google Research Blog | 9-Jan-2020
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ब्लॉग पोस्ट
Lessons Learned from Developing ML for Healthcareby Yun Liu & Po-Hsuan Cameron Chen
Google AI Blog | 10-Dec-2019
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ब्लॉग पोस्ट
Tools to help healthcare providers deliver better careby David Feinberg
Google Keyword Blog | 20-Nov-2019
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ब्लॉग पोस्ट
Breast cancer and tech...a reason for optimismby Ruth Porat
Google Keyword Blog | 21-Oct-2019
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ब्लॉग पोस्ट
DeepMind’s health team joins Google Healthby Dominic King
Google Keyword Blog | 18-Sep-2019
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ब्लॉग पोस्ट
Looking Back at Google’s Research Efforts in 2018by Jeff Dean
Google Research Blog | 15-Jan-2019
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ब्लॉग पोस्ट
Meet David Feinberg, head of Google Healthby Google
Google Keyword Blog | 17-Jun-2019
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ब्लॉग पोस्ट
AI for Social Good in Asia Pacificby Kent Walter
Google Keyword Blog | 13-Dec-2018
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ब्लॉग पोस्ट
The Google Brain Team — Looking Back on 2017 (Part 2 of 2)by Jeff Dean
Google Research Blog | 12-Jan-2018
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ब्लॉग पोस्ट
Gain a deeper understanding of Posttraumatic Stress Disorder on Googleby Paula Schnurr & Teri Brister
Google Keyword Blog | 5-Dec-2017
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ब्लॉग पोस्ट
Learning more about clinical depression with the PHQ-9 questionnaireby Mary Giliberti
Google Keyword Blog | 23-Aug-2017
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ब्लॉग पोस्ट
Partnering on machine learning in healthcareby Katherine Chou
Google AI Blog | 17-May-2017
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ब्लॉग पोस्ट
The Google Brain Team — Looking Back on 2016by Jeff Dean
Google Research Blog | 12-Jan-2017
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कोविड-19 ब्लॉग पोस्ट
Supporting evolving COVID information needsby Hema Budaraju
Google Keyword Blog | 16-Jun-2022
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कोविड-19 ब्लॉग पोस्ट [more at Google Keyword Blog]
Group effort: How we helped launch an NYC vaccine siteby Lauren Gallagher
Google Keyword Blog | 11-Feb-2022
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कोविड-19 ब्लॉग पोस्ट [more at Google Keyword Blog]
This year, we searched for ways to stay healthyby Hema Budaraju
Google Keyword Blog | 8-Dec-2021
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कोविड-19 ब्लॉग पोस्ट
New tools to support vaccine access and distributionby Tomer Shekel
Google Keyword Blog | 9-Jun-2021
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कोविड-19 ब्लॉग पोस्ट
An update on our COVID response prioritiesby the COVID Response team, Google India
Google India Blog | 10-May-2021
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कोविड-19 ब्लॉग पोस्ट
Our commitment to COVID-19 vaccine equityby Karen DeSalvo
Google Keyword Blog | 15-Apr-2021[Spanish version]
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कोविड-19 ब्लॉग पोस्ट
How anonymized data helps fight against diseaseby Stephen Ratcliffe
Google Keyword Blog | 24-Feb-2021
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कोविड-19 ब्लॉग पोस्ट
How we’re helping get vaccines to more peopleby Sundar Pichai
Google Keyword Blog | 25-Jan-2021
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कोविड-19 ब्लॉग पोस्ट
Exposure Notifications: end of year updateby Steph Hannon
Google Keyword Blog | 11-Dec-2020
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कोविड-19 ब्लॉग पोस्ट
How you'll find accurate and timely information on COVID-19 vaccinesby Karen DeSalvo & Kristie Canegallo
Google Keyword Blog | 10-Dec-2020
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कोविड-19 ब्लॉग पोस्ट
How I’m giving thanks (and staying safe) this Thanksgivingby Karen DeSalvo
Google Keyword Blog | 24-Nov-2020 [Spanish version]
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कोविड-19 ब्लॉग पोस्ट
A Q&A on coronavirus vaccinesGoogle Keyword Blog
10-Nov-2020
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कोविड-19 ब्लॉग पोस्ट
An update on our efforts to help Americans navigate COVID-19by Ruth Porat
Google Keyword Blog | 27-Oct-2020
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कोविड-19 ब्लॉग पोस्ट
Making data useful for public healthby Katherine Chou
Google Keyword Blog | 17-Sept-2020
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कोविड-19 ब्लॉग पोस्ट
Google supports COVID-19 AI and data analytics projectsby Mollie Javerbaum & Meghan Houghton
Google Keyword Blog | 10-Sep-2020
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कोविड-19 ब्लॉग पोस्ट
Using symptoms search trends to inform COVID-19 researchby Evgeniy Gabrilovich
Google Keyword Blog | 2-Sep-2020
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कोविड-19 ब्लॉग पोस्ट
An update on Exposure Notificationsby Dave Burke
Google Keyword Blog | 31-Jul-2020
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कोविड-19 ब्लॉग पोस्ट
Exposure Notification API launches to support public health agenciesby Apple & Google
Google Keyword Blog | 20-May-2020
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कोविड-19 ब्लॉग पोस्ट
Dr. Karen DeSalvo on ‘putting information first’ during COVID-19by Megan Washam
Google Keyword Blog | 13-May-2020
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कोविड-19 ब्लॉग पोस्ट
Resources for mental health support during COVID-19by David Feinberg
Google Keyword Blog | 8-May-2020
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कोविड-19 ब्लॉग पोस्ट
Apple and Google partner on COVID-19 contact tracing technologyby Apple & Google
Google Keyword Blog | 10-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Connecting people to virtual care optionsby Julie Black
Google Keyword Blog | 10-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Support for public health workers fighting COVID-19by Karen DeSalvo
Google Keyword Blog | 6-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Helping public health officials combat COVID-19by Jen Fitzpatrick & Karen DeSalvo
Google Keyword Blog | 3-Apr-2020
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कोविड-19 ब्लॉग पोस्ट
Connecting people with COVID-19 information and resourcesby Emily Moxley
Google Keyword Blog | 21-Mar-2020
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कोविड-19 ब्लॉग पोस्ट
COVID-19: How we’re continuing to helpby Sundar Pichai
Google Keyword Blog | 15-Mar-2020
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कोविड-19 ब्लॉग पोस्ट
Coronavirus: How we’re helpingby Sundar Pichai
Google Keyword Blog | 6-Mar-2020
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रिव्यु
Medicine’s Role in Reimagining Public Health: Reuniting Panacea and HygeiaDeSalvo, K. B., Kadakia, K. T. & Chokshi, D. A.
DeSalvo, K. B., Kadakia, K. T. & Chokshi, D. A.
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रिव्यु
Modernizing Public Health Data Systems: Lessons From the Health Information Technology for Economic and Clinical Health (HITECH) ActKadakia, K. T., Howell, M. D. & DeSalvo, K. B.
JAMA 326, 385–386 (2021).
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रिव्यु
Public Health 3.0 After COVID-19-Reboot or Upgrade?DeSalvo, K. B. & Kadakia, K. T.
Am. J. Public Health 111, S179–S181 (2021).
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रिव्यु
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AISounderajah, V., Ashrafian, H., Rose, S., Shah, N. H., Ghassemi, M., Golub, R., Kahn, C. E., Jr, Esteva, A., Karthikesalingam, A., Mateen, B., Webster, D., Milea, D., Ting, D., Treanor, D., Cushnan, D., King, D., McPherson, D., Glocker, B., Greaves, F., Harling, L., Ordish, J., Cohen, J. F., Deeks, J., Leeflang, M., Diamond, M., McInnes, M. D. F., McCradden, M., Abràmoff, M. D., Normahani, P., Markar, S. R., Chang, S., Liu, X., Mallett, S., Shetty, S., Denniston, A., Collins, G. S., Moher, D., Whiting, P., Bossuyt, P. M. & Darzi, A.
Nat. Med. (2021).
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रिव्यु
Evaluation of artificial intelligence on a reference standard based on subjective interpretationChen, P.-H. C., Mermel, C. H. & Liu, Y.
The Lancet Digital Health (2021). doi:10.1016/S2589-7500(21)00216-8
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रिव्यु
Artificial Intelligence in MedicineKelly, C. J., Brown, A. P. Y. & Taylor, J. A.
(eds. Lidströmer, N. & Ashrafian, H.) 1–18 (Springer International Publishing, 2021).
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रिव्यु
Challenges of Accuracy in Germline Clinical Sequencing DataPoplin, R., Zook, J. M. & DePristo, M.
JAMA 326, 268–269 (2021).
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रिव्यु
Retinal detection of kidney disease and diabetesMitani, A., Hammel, N. & Liu, Y.
Nature Biomedical Engineering 1–3 (2021). [readcube]
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रिव्यु
Deep learning-enabled medical computer visionEsteva, A., Chou, K., Yeung, S., Naik, N., Madani, A., Mottaghi, A., Liu, Y., Topol, E., Dean, J. & Socher, R.
npj Digital Medicine 4, 5 (2021).
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रिव्यु
Closing the translation gap: AI applications in digital pathologySteiner, D. F., Chen, P.-H. C. & Mermel, C. H.
Biochim. Biophys. Acta Rev. Cancer 1875, 188452 (2021).
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रिव्यु
Lessons learnt from harnessing deep learning for real-world clinical applications in ophthalmology: detecting diabetic retinopathy from retinal fundus photographsLiu, Y., Yang, L., Phene, S. & Peng, L.
Artificial Intelligence in Medicine 247–264 (2021).
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रिव्यु
Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in ISMRMWarnert, E. A. H., Kasper, L., Meltzer, C. C., Lightfoote, J. B., Bucknor, M. D., Haroon, H., Duggan, G., Gowland, P., Wald, L., Miller, K. L., Morris, E. A. & Anazodo, U. C.
J. Magn. Reson. Imaging (2020). doi:10.1002/jmri.27476 [readcube]
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रिव्यु
Current and future applications of artificial intelligence in pathology: a clinical perspectiveRakha, E. A., Toss, M., Shiino, S., Gamble, P., Jaroensri, R., Mermel, C. H. & Chen, P.-H. C.
J. Clin. Pathol. (2020). doi:10.1136/jclinpath-2020-206908
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रिव्यु
Artificial intelligence, machine learning and deep learning for eye care specialistsSayres, R., Hammel, N. & Liu, Y.
Annals of Eye Science 5, 18–18 (2020).
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रिव्यु
Artificial intelligence in digital breast pathology: Techniques and applicationsIbrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P.-H. C. & Rakha, E. A.
Breast 49, 267–273 (2020).
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रिव्यु
How to Read Articles That Use Machine Learning: Users’ Guides to the Medical LiteratureLiu, Y., Chen, P.-H. C., Krause, J. & Peng, L.
JAMA 322, 1806–1816 (2019). [readcube]
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रिव्यु
Key challenges for delivering clinical impact with artificial intelligenceKelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D.
BMC Med. 17, 195 (2019).
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रिव्यु
Ensuring Fairness in Machine Learning to Advance Health EquityRajkomar, A., Hardt, M., Howell, M. D., Corrado, G., & Chin, M. H.
Ann. Intern. Med. 169(12):866-872 (2018).
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रिव्यु
Artificial Intelligence Approach in MelanomaCuriel-Lewandrowski, C., Novoa, R. A., Berry, E., Celebi, M. E., Codella, N., Giuste, F., Gutman, D., Halpern, A., Leachman, S., Liu, Y., Liu, Y., Reiter, O. & Tschandl, P.
599–628. Springer New York (2019).
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रिव्यु
How to develop machine learning models for healthcareChen, C. P.-H., Liu, Y., & Peng, L.
Nat. Mater. 18, 410–414 (2019). [readcube]
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रिव्यु
Machine Learning in MedicineRajkomar, A., Dean, J., & Kohane I.
N. Engl. J. Med. 380:1347-1358 (2019).
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रिव्यु
A guide to deep learning in healthcareEsteva, A., Robicquet, A., Ramsundar, B., Kuleshov, V., DePristo, M., Chou, K., Cui, C., Corrado, G., Thrun, S. & Dean, J.
Nat. Med. 25, 24–29 (2019). [readcube]
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रिव्यु
When does size matter? -- Promises, pitfalls, and appropriate interpretations of ‘big’ dataRough K, Thompson J.
Ophthalmology. 125(8):1136-1138 (2018).
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रिव्यु
Resolving the Productivity Paradox of Health Information Technology: A Time for OptimismWachter, R. M., Howell, M. D.
JAMA 320(1):25-26 (2018).
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ब्लॉग पोस्ट
How Underspecification Presents Challenges for Machine Learningby Alex D’Amour and Katherine Heller
Google AI Blog | 18-Oct-2021
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ब्लॉग पोस्ट
Self-Supervised Learning Advances Medical Image Classificationby Shekoofeh Azizi
Google AI Blog | 13-Oct-2021
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पब्लिकेशन
Iterative Quality Control Strategies for Expert Medical Image LabelingFreeman, B., Hammel, N., Phene, S., Huang, A., Ackermann, R., Kanzheleva, O., Hutson, M., Taggart, C., Duong, Q. & Sayres, R.
HCOMP 9, 60–71 (2021).
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पब्लिकेशन
Big Self-Supervised Models Advance Medical Image ClassificationAzizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 3478–3488 (2021).
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पब्लिकेशन
Privacy-first health research with federated learningSadilek, A., Liu, L., Nguyen, D., Kamruzzaman, M., Serghiou, S., Rader, B., Ingerman, A., Mellem, S., Kairouz, P., Nsoesie, E. O., MacFarlane, J., Vullikanti, A., Marathe, M., Eastham, P., Brownstein, J. S., Arcas, B. A. Y., Howell, M. D. & Hernandez, J.
NPJ Digit Med 4, 132 (2021).
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पब्लिकेशन
Supervised Transfer Learning at Scale for Medical ImagingMustafa, B., Loh, A., Freyberg, J., MacWilliams, P., Karthikesalingam, A., Houlsby, N. & Natarajan, V.
arXiv [cs.CV] (2021).
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पब्लिकेशन
Big Self-Supervised Models Advance Medical Image ClassificationAzizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., Natarajan, V. & Norouzi, M.
arXiv [eess.IV] (2021).
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पब्लिकेशन
Underspecification Presents Challenges for Credibility in Modern Machine LearningD’Amour, A., Heller, K., Moldovan, D., Adlam, B., Alipanahi, B., Beutel, A., Chen, C., Deaton, J., Eisenstein, J., Hoffman, M. D., Hormozdiari, F., Houlsby, N., Hou, S., Jerfel, G., Karthikesalingam, A., Lucic, M., Ma, Y., McLean, C., Mincu, D., Mitani, A., Montanari, A., Nado, Z., Natarajan, V., Nielson, C., Osborne, T. F., Raman, R., Ramasamy, K., Sayres, R., Schrouff, J., Seneviratne, M., Sequeira, S., Suresh, H., Veitch, V., Vladymyrov, M., Wang, X., Webster, K., Yadlowsky, S., Yun, T., Zhai, X. & Sculley, D.
arXiv [cs.LG] (2020).
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पब्लिकेशन
Contrastive Training for Improved Out-of-Distribution Detectionजिम विंकेंस, रूडी बुनेल, अभिजीत गुहा रॉय, रॉबर्ट स्टैनफोर्थ, विवेक नटराजन, जोसेफ़ आर॰ लेस्साम, पैट्रिशिया मैकविलियम्स, पुष्मीत कोहली, एलन कार्तिकेसलिंगम, सिमोन कोल, टायलाम सेमजिल, एस॰ एम॰ अली इस्लामी, और ओलफ़ रॉनबर्गर
arXiv [cs.LG] (2020).
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पब्लिकेशन
Customization scenarios for de-identification of clinical notesHartman, T., Howell, M., Dean, J., Hoory, S., Slyper, R., Laish, I., Gilon, O, Vainstein, D., Corrado, G., Chou, K., Po, M., Williams, J., Ellis, S., Bee, G., Hassidim, A., Amira, R., Beryozkin, G., Szpektor, I., & Matias, Y.
BMC (2020).
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ब्लॉग पोस्ट
How DermAssist uses TensorFlow.js for on-device image quality checksby Miles Hutson & Aaron Loh
TensorFlow Blog | 11-Oct-2021
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ब्लॉग पोस्ट
Using AI to help find answers to common skin conditionsby Peggy Bui & Yuan Liu
Google Keyword Blog | 18-May-2021
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ब्लॉग पोस्ट
AI assists doctors in interpreting skin conditionsby Ayush Jain & Peggy Bui
Google Keyword Blog | 28-Apr-2021
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ब्लॉग पोस्ट
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
Google AI Blog | 19-Feb-2020
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ब्लॉग पोस्ट
Using Deep Learning to Inform Differential Diagnoses of Skin Diseasesby Yuan Liu & Peggy Bui
Google AI Blog | 12-Sep-2019
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पब्लिकेशन
Machine learning for clinical operations improvement via case triagingHuang, S. J., Liu, Y., Kanada, K., Corrado, G. S., Webster, D. R., Peng, L., Bui, P. & Liu, Y
Skin Health and Disease (2021)
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पब्लिकेशन
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditionsGuha Roy, A., Ren, J., Azizi, S., Loh, A., Natarajan, V., Mustafa, B., Pawlowski, N., Freyberg, J., Liu, Y., Beaver, Z., Vo, N., Bui, P., Winter, S., MacWilliams, P., Corrado, G. S., Telang, U., Liu, Y., Cemgil, T., Karthikesalingam, A., Lakshminarayanan, B. & Winkens, J.
Med. Image Analysis. 75, 102274 (2021). [reading link]
-
पब्लिकेशन
Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology PracticesWeng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y
JAMA Netw Open 4, e217249–e217249 (2021).
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पब्लिकेशन
Addressing the Real-world Class Imbalance Problem in DermatologyWeng, W.-H., Deaton, J., Natarajan, V., Elsayed, G. F. & Liu, Y.
Machine Learning for Health NeurIPS Workshop (ML4H), PMLR 136:415-429 (2020).
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पब्लिकेशन
Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease ClassificationSingh, N., Lee, K., Coz, D., Angermueller, C., Huang, S., Loh, A. & Liu, Y.
in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 3172–3181 (2020).
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पब्लिकेशन
A deep learning system for differential diagnosis of skin diseasesLiu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., Kanada, K., de Oliveira Marinho, G., Gallegos, J., Gabriele, S., Gupta, V., Singh, N., Natarajan, V., Hofmann-Wellenhof, R., Corrado, G. S., Peng, L. H., Webster, D. R., Ai, D., Huang, S., Liu, Y., Carter Dunn, R. & Coz, D.
Nat. Med. (2020). [readcube]
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पब्लिकेशन
DermGAN: Synthetic Generation of Clinical Skin Images with PathologyGhorbani, A., Natarajan, V., Coz, D. & Liu, Y.
Machine Learning for Health NeurIPS Workshop (ML4H), PMLR 116:155-170 (2020).
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पब्लिकेशन
Measuring clinician-machine agreement in differential diagnoses for dermatologyEng, C., Liu, Y. & Bhatnagar, R.
Br. J. Dermatol. (2019). readcube
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ब्लॉग पोस्ट
Improved Detection of Elusive Polyps via Machine Learningby Yossi Matias & Ehud Rivlin
Google AI Blog | 5-Aug-2021
-
ब्लॉग पोस्ट
Verily Opens New R&D Center in Israel Focused on the Application of AI in Healthcareby Robin Suchan
Verily Press | 5-Aug-2021
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ब्लॉग पोस्ट
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screeningsby Daniel Freedman & Ehud Rivlin
Google AI Blog | 28-Aug-2020
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पब्लिकेशन
Artificial intelligence for phase recognition in complex laparoscopic cholecystectomyGolany, T., Aides, A., Freedman, D., Rabani, N., Liu, Y., Rivlin, E., Corrado, G. S., Matias, Y., Khoury, W., Kashtan, H. & Reissman, P.
Surg. Endosc. (2022).
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पब्लिकेशन
Detection of elusive polyps via a large-scale artificial intelligence system (with videos)Livovsky, D. M., Veikherman, D., Golany, T., Aides, A., Dashinsky, V., Rabani, N., Ben Shimol, D., Blau, Y., Katzir, L., Shimshoni, I., Liu, Y., Segol, O., Goldin, E., Corrado, G., Lachter, J., Matias, Y., Rivlin, E. & Freedman, D.
Gastrointest. Endosc. (2021).
-
पब्लिकेशन
Detecting Deficient Coverage in ColonoscopiesFreedman, D., Blau, Y., Katzir, L., Aides, A., Shimshoni, I., Veikherman, D., Golany, T., Gordon, A., Corrado, G., Matias, Y. & Rivlin, E.
IEEE Trans. Med. Imaging 1–1 (2020).
-
ब्लॉग पोस्ट
Healthcare AI systems that put people at the centerby Emma Beede
Google Keyword Blog | 25-Apr-2020
-
ब्लॉग पोस्ट
New milestones in helping prevent eye disease with Verilyby Kasumi Widner & Sunny Virmani
Google Keyword Blog | 25-Feb-2019
-
ब्लॉग पोस्ट
Launching a powerful new screening tool for diabetic eye disease in IndiaVerily Blog | 25-Feb-2019
-
ब्लॉग पोस्ट
Improving the Effectiveness of Diabetic Retinopathy Modelsby Rory Sayres & Jonathan Krause
Google AI Blog | 13-Dec-2018
-
ब्लॉग पोस्ट
A major milestone for the treatment of eye diseaseby Mustafa Suleyman
DeepMind Blog | 13-Aug-2018
-
ब्लॉग पोस्ट
Detecting diabetic eye disease with machine learningby Lily Peng
Google Keyword Blog | 29-Nov-2016
-
ब्लॉग पोस्ट
Deep learning for Detection of Diabetic Eye Diseaseby Lily Peng & Varun Gulshan
Google AI Blog | 29-Nov-2016
-
पब्लिकेशन
Redesigning Clinical Pathways for Immediate Diabetic Retinopathy Screening ResultsPedersen Elin Rønby, Cuadros Jorge, Khan Mahbuba, Fleischmann Sybille, Wolff Gregory, Hammel Naama, Liu Yun & Leung Geoffrey.
NEJM Catalyst (2021).
-
पब्लिकेशन
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep LearningWilson, M., Chopra, R., Wilson, M. Z., Cooper, C., MacWilliams, P., Liu, Y., Wulczyn, E., Florea, D., Hughes, C. O., Karthikesalingam, A., Khalid, H., Vermeirsch, S., Nicholson, L., Keane, P. A., Balaskas, K. & Kelly, C. J.
JAMA Ophthalmol. (2021).
-
पब्लिकेशन
Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human GradersLimwattanayingyong, J., Nganthavee, V., Seresirikachorn, K., Singalavanija, T., Soonthornworasiri, N., Ruamviboonsuk, V., Rao, C., Raman, R., Grzybowski, A., Schaekermann, M., Peng, L. H., Webster, D. R., Semturs, C., Krause, J., Sayres, R., Hersch, F., Tiwari, R., Liu, Y. & Ruamviboonsuk, P.
Journal of Diabetes Research, 1–8 (2020).
-
पब्लिकेशन
Improving medical annotation quality to decrease labeling burden using stratified noisy cross-validationHsu J, Phene S, Mitani A, Luo J, Hammel N, Krause J, Sayres R.
in ACM-CHIL [arXiv](2020)
-
पब्लिकेशन
Adherence to ophthalmology referral, treatment and follow-up after diabetic retinopathy screening in the primary care settingBresnick, G., Cuadros, J. A., Khan, M., Fleischmann, S., Wolff, G., Limon, A., Chang, J., Jiang, L., Cuadros, P. & Pedersen, E. R.
BMJ Open Diabetes Research and Care 8, e001154 (2020).
-
पब्लिकेशन
A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic RetinopathyBeede, E., Baylor, E., Hersch, F., Iurchenko, A., Wilcox, L., Ruamviboonsuk, P. & Vardoulakis, L. M.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1–12. Association for Computing Machinery (2020).
-
पब्लिकेशन
Expert Discussions Improve Comprehension of Difficult Cases in Medical Image AssessmentSchaekermann, M., Cai, C. J., Huang, A. E. & Sayres, R.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1–13. Association for Computing Machinery (2020).
-
पब्लिकेशन
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus PhotographsPhene, S., Dunn, R. C., Hammel, N., Liu, Y., Krause, J., Kitade, N., Schaekermann, M., Sayres, R., Wu, D. J., Bora, A., Semturs, C., Misra, A., Huang, A. E., Spitze, A., Medeiros, F. A., Maa, A. Y., Gandhi, M., Corrado, G. S., Peng, L. & Webster, D. R.
Ophthalmology 126, 1627–1639 (2019).
-
पब्लिकेशन
Remote Tool-Based Adjudication for Grading Diabetic RetinopathySchaekermann, M., Hammel, N., Terry, M., Ali, T. K., Liu, Y., Basham, B., Campana, B., Chen, W., Ji, X., Krause, J., Corrado, G. S., Peng, L., Webster, D. R., Law, E. & Sayres, R.
Transl. Vis. Sci. Technol. 8, 40 (2019).
-
पब्लिकेशन
Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in IndiaGulshan, V., Rajan, R. P., Widner, K., Wu, D., Wubbels, P., Rhodes, T., Whitehouse, K., Coram, M., Corrado, G., Ramasamy, K., Raman, R., Peng, L. & Webster, D. R.
JAMA Ophthalmol. (2019).
-
पब्लिकेशन
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programRuamviboonsuk, P., Krause, J., Chotcomwongse, P., Sayres, R., Raman, R., Widner, K., Campana, B. J. L., Phene, S., Hemarat, K., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Rao, C., Kuruvilla, O., Jung, J., Tan, J., Orprayoon, S., Kangwanwongpaisan, C., Sukumalpaiboon, R., Luengchaichawang, C., Fuangkaew, J., Kongsap, P., Chualinpha, L., Saree, S., Kawinpanitan, S., Mitvongsa, K., Lawanasakol, S., Thepchatri, C., Wongpichedchai, L., Corrado, G. S., Peng, L. & Webster, D. R.
npj Digit Med 2, 25 (2019).
-
पब्लिकेशन
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathySayres, R., Taly, A., Rahimy, E., Blumer, K., Coz, D., Hammel, N., Krause, J., Narayanaswamy, A., Rastegar, Z., Wu, D., Xu, S., Barb, S., Joseph, A., Shumski, M., Smith, J., Sood, A. B., Corrado, G. S., Peng, L. & Webster, D. R.
Ophthalmology 126, 552–564 (2019).
-
पब्लिकेशन
Clinically applicable deep learning for diagnosis and referral in retinal diseaseFauw, J., Ledsam, J.R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell, S., Askham, H., Glorot, X., O’Donoghue, B., Visentin, D., van den Driessche, G., Lakshminarayanan, B., Meyer, C., Mackinder, F., Bouton, S., Ayoub, K., Chopra, R., King, D., Karthikesalingam, A., Hughes, C.O., Raine, R., Hughes, J., Sim, D. A., Egan, C., Tufail, A., Montgomery, H., Hassabis, D., Rees, G., Back, T., Khaw, P.T., Suleyman, M., Cornebise, J., Keane, P.A., & Ronneberger, O.
Nat. Med. 24, 1342–1350 (2018). [readcube]
-
पब्लिकेशन
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic RetinopathyKrause, J., Gulshan, V., Rahimy, E., Karth, P., Widner, K., Corrado, G. S., Peng, L., & Webster, D.R.
Ophthalmology 125, 1264–1272 (2018).
-
पब्लिकेशन
Blind spots in telemedicine: a qualitative study of staff workarounds to resolve gaps in diabetes managementBouskill, K., Smith-Morris, C., Bresnick, G., Cuadros, J. & Pedersen, E. R.
BMC Health Services Research 18, (2018).
-
पब्लिकेशन
Diabetic Retinopathy and the Cascade into Vision LossSmith-Morris, C., Bresnick, G. H., Cuadros, J., Bouskill, K. E. & Pedersen, E. R.
Med. Anthropol. 39, 109–122 (2018).
-
पब्लिकेशन
Who Said What: Modeling Individual Labelers Improves ClassificationGuan, M., Gulshan, V., Dai, A, Hinton, G.
AAAI Conference on Artificial Intelligence (2018).
-
पब्लिकेशन
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographsGulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., Ramasamy, K., Nelson, P., Mega, J., & Webster, D.
JAMA 316, 2402–2410 (2016).
-
ब्लॉग पोस्ट
An ML-Based Framework for COVID-19 Epidemiologyby Joel Shor & Sercan Arik
Google AI Blog | 13-Oct-2021
-
ब्लॉग पोस्ट
Google Cloud, Harvard Global Health Institute release improved COVID-19 Public Forecasts, share lessons learnedby Tomas Pfister
Google Cloud Blog | 15-Nov-2020
-
ब्लॉग पोस्ट
Google Cloud AI and Harvard Global Health Institute Collaborate on new COVID-19 forecasting modelby Dario Sava
Google Cloud Blog | 3-Aug-2020
-
पब्लिकेशन
Algorithmic fairness in pandemic forecasting: lessons from COVID-19Tsai, T. C., Arik, S., Jacobson, B. H., Yoon, J., Yoder, N., Sava, D., Mitchell, M., Graham, G. & Pfister, T.
NPJ Digit Med 5, 59 (2022).
-
पब्लिकेशन
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United StatesCramer, E. Y., Ray, E. L., Lopez, V. K., Bracher, J., Brennen, A., Castro Rivadeneira, A. J., Gerding, A., Gneiting, T., House, K. H., Huang, Y., Jayawardena, D., Kanji, A. H., Khandelwal, A., Le, K., Mühlemann, A., Niemi, J., Shah, A., Stark, A., Wang, Y., Wattanachit, N., Zorn, M. W., Gu, Y., Jain, S., Bannur, N., Deva, A., Kulkarni, M., Merugu, S., Raval, A., Shingi, S., Tiwari, A., White, J., Abernethy, N. F., Woody, S., Dahan, M., Fox, S., Gaither, K., Lachmann, M., Meyers, L. A., Scott, J. G., Tec, M., Srivastava, A., George, G. E., Cegan, J. C., Dettwiller, I. D., England, W. P., Farthing, M. W., Hunter, R. H., Lafferty, B., Linkov, I., Mayo, M. L., Parno, M. D., Rowland, M. A., Trump, B. D., Zhang-James, Y., Chen, S., Faraone, S. V., Hess, J., Morley, C. P., Salekin, A., Wang, D., Corsetti, S. M., Baer, T. M., Eisenberg, M. C., Falb, K., Huang, Y., Martin, E. T., McCauley, E., Myers, R. L., Schwarz, T., Sheldon, D., Gibson, G. C., Yu, R., Gao, L., Ma, Y., Wu, D., Yan, X., Jin, X., Wang, Y.-X., Chen, Y., Guo, L., Zhao, Y., Gu, Q., Chen, J., Wang, L., Xu, P., Zhang, W., Zou, D., Biegel, H., Lega, J., McConnell, S., Nagraj, V. P., Guertin, S. L., Hulme-Lowe, C., Turner, S. D., Shi, Y., Ban, X., Walraven, R., Hong, Q.-J., Kong, S., van de Walle, A., Turtle, J. A., Ben-Nun, M., Riley, S., Riley, P., Koyluoglu, U., DesRoches, D., Forli, P., Hamory, B., Kyriakides, C., Leis, H., Milliken, J., Moloney, M., Morgan, J., Nirgudkar, N., Ozcan, G., Piwonka, N., Ravi, M., Schrader, C., Shakhnovich, E., Siegel, D., Spatz, R., Stiefeling, C., Wilkinson, B., Wong, A., Cavany, S., España, G., Moore, S., Oidtman, R., Perkins, A., Kraus, D., Kraus, A., Gao, Z., Bian, J., Cao, W., Lavista Ferres, J., Li, C., Liu, T.-Y., Xie, X., Zhang, S., Zheng, S., Vespignani, A., Chinazzi, M., Davis, J. T., Mu, K., Pastore Y Piontti, A., Xiong, X., Zheng, A., Baek, J., Farias, V., Georgescu, A., Levi, R., Sinha, D., Wilde, J., Perakis, G., Bennouna, M. A., Nze-Ndong, D., Singhvi, D., Spantidakis, I., Thayaparan, L., Tsiourvas, A., Sarker, A., Jadbabaie, A., Shah, D., Della Penna, N., Celi, L. A., Sundar, S., Wolfinger, R., Osthus, D., Castro, L., Fairchild, G., Michaud, I., Karlen, D., Kinsey, M., Mullany, L. C., Rainwater-Lovett, K., Shin, L., Tallaksen, K., Wilson, S., Lee, E. C., Dent, J., Grantz, K. H., Hill, A. L., Kaminsky, J., Kaminsky, K., Keegan, L. T., Lauer, S. A., Lemaitre, J. C., Lessler, J., Meredith, H. R., Perez-Saez, J., Shah, S., Smith, C. P., Truelove, S. A., Wills, J., Marshall, M., Gardner, L., Nixon, K., Burant, J. C., Wang, L., Gao, L., Gu, Z., Kim, M., Li, X., Wang, G., Wang, Y., Yu, S., Reiner, R. C., Barber, R., Gakidou, E., Hay, S. I., Lim, S., Murray, C., Pigott, D., Gurung, H. L., Baccam, P., Stage, S. A., Suchoski, B. T., Prakash, B. A., Adhikari, B., Cui, J., Rodríguez, A., Tabassum, A., Xie, J., Keskinocak, P., Asplund, J., Baxter, A., Oruc, B. E., Serban, N., Arik, S. O., Dusenberry, M., Epshteyn, A., Kanal, E., Le, L. T., Li, C.-L., Pfister, T., Sava, D., Sinha, R., Tsai, T., Yoder, N., Yoon, J., Zhang, L., Abbott, S., Bosse, N. I., Funk, S., Hellewell, J., Meakin, S. R., Sherratt, K., Zhou, M., Kalantari, R., Yamana, T. K., Pei, S., Shaman, J., Li, M. L., Bertsimas, D., Skali Lami, O., Soni, S., Tazi Bouardi, H., Ayer, T., Adee, M., Chhatwal, J., Dalgic, O. O., Ladd, M. A., Linas, B. P., Mueller, P., Xiao, J., Wang, Y., Wang, Q., Xie, S., Zeng, D., Green, A., Bien, J., Brooks, L., Hu, A. J., Jahja, M., McDonald, D., Narasimhan, B., Politsch, C., Rajanala, S., Rumack, A., Simon, N., Tibshirani, R. J., Tibshirani, R., Ventura, V., Wasserman, L., O’Dea, E. B., Drake, J. M., Pagano, R., Tran, Q. T., Ho, L. S. T., Huynh, H., Walker, J. W., Slayton, R. B., Johansson, M. A., Biggerstaff, M. & Reich, N. G.
Proc. Natl. Acad. Sci. U. S. A. 119, e2113561119 (2022).
-
पब्लिकेशन
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and JapanArık, S. Ö., Shor, J., Sinha, R., Yoon, J., Ledsam, J. R., Le, L. T., Dusenberry, M. W., Yoder, N. C., Popendorf, K., Epshteyn, A., Euphrosine, J., Kanal, E., Jones, I., Li, C.-L., Luan, B., Mckenna, J., Menon, V., Singh, S., Sun, M., Ravi, A. S., Zhang, L., Sava, D., Cunningham, K., Kayama, H., Tsai, T., Yoneoka, D., Nomura, S., Miyata, H. & Pfister, T.
NPJ Digit Med 4, 146 (2021).
-
पब्लिकेशन
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural NetworksKapoor, A., Ben, X., Liu, L., Perozzi, B., Barnes, M., Blais, M. & O’Banion, S.
arXiv [cs.LG] (2020).
-
पब्लिकेशन
Interpretable Sequence Learning for Covid-19 ForecastingArik, Li, Yoon, Sinha, Epshteyn, Le, Menon, Singh, Zhang, Nikoltchev, Sonthalia, Nakhost, Kanal & Pfister.
Adv. Neural Inf. Process. Syst. 2020.
-
ब्लॉग पोस्ट
Enhanced Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
Google AI Blog | 9-Nov-2021
-
ब्लॉग पोस्ट
Need a better night’s sleep? Meet the new Nest Hubby Ashton Udall
Google Keyword Blog | 16-Mar-2021
-
ब्लॉग पोस्ट
Contactless Sleep Sensing in Nest Hubby Michael Dixon & Reena Singhal Lee
Google AI Blog | 16-Mar-2021
-
ब्लॉग पोस्ट
Take a pulse on health and wellness with your phoneby Shwetak Patel
Google Keyword Blog | 4-Feb-2021
-
पब्लिकेशन
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithmsBae, S., Borac, S., Emre, Y., Wang, J., Wu, J., Kashyap, M., Kang, S.-H., Chen, L., Moran, M., Cannon, J., Teasley, E. S., Chai, A., Liu, Y., Wadhwa, N., Krainin, M., Rubinstein, M., Maciel, A., McConnell, M. V., Patel, S., Corrado, G. S., Taylor, J. A., Zhan, J. & Po, M. J.
bioRxiv (2021).
-
पब्लिकेशन
Sleep-wake Detection With a Contactless, Bedside Radar Sleep Sensing SystemDixon, M., Schneider, L. D., Yu, J., Hsu, J., Pathak, A., Shin, D., Lee, R. S., Malhotra, M., Mixter, K., McConnell, M. V., Taylor, J. A., Patel, S. N.,
Google Whitepaper (2021).
-
ब्लॉग पोस्ट [more at Fitbit Blog]
Google Pixel Watch: Help by Google, health by Fitbitby Sandeep Waraich
Google Keyword Blog | 6-Oct-2022
-
ब्लॉग पोस्ट
8 things to try now on Fitbit Sense 2 and Versa 4by TJ Varghese
Google Keyword Blog | 29-Sep-2022
-
ब्लॉग पोस्ट
Kick-start your fitness routine with Fitbit Inspire 3by The Fitbit Team
Google Keyword Blog | 24-Aug-2022
-
ब्लॉग पोस्ट
Fitbit’s fall lineup: helping you live your healthiest lifeby TJ Varghese
Google Keyword Blog | 24-Aug-2022
-
ब्लॉग पोस्ट
Manage your health and fitness with Fitbit Versa 4 and Sense 2by The Fitbit Team
Google Keyword Blog | 24-Aug-2022
-
ब्लॉग पोस्ट
Improve your ZZZs with Fitbit Premium Sleep Profileby The Fitbit Team
Google Keyword Blog | 22-Jun-2022
-
ब्लॉग पोस्ट
New Fitbit feature makes AFib detection more accessibleFitbit की टीम
Google Keyword Blog | 11-Apr-2022
-
पब्लिकेशन
Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart StudyLubitz, S. A., Faranesh, A. Z., Selvaggi, C., Atlas, S. J., McManus, D. D., Singer, D. E., Pagoto, S., McConnell, M. V., Pantelopoulos, A. & Foulkes, A. S.
Circulation (2022).
-
पब्लिकेशन
Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19Natarajan, A., Su, H.-W. & Heneghan, C.
Front. Physiol. 13, 898251 (2022).
-
पब्लिकेशन
Measurement of respiratory rate using wearable devices and applications to COVID-19 detectionNatarajan, A., Su, H.-W., Heneghan, C., Blunt, L., O’Connor, C. & Niehaus, L.
NPJ Digit Med 4, 136 (2021).
-
ब्लॉग पोस्ट
A new genome sequencing tool powered with our technologyby Andrew Caroll
Google Keyword Blog | 26-Oct-2022
-
ब्लॉग पोस्ट [more at DeepVariant Blog]
Advancing genomics to better understand and treat diseaseby Andrew Carroll & Pi-Chuan Chang
Google Keyword Blog | 13-Jan-2022
-
ब्लॉग पोस्ट
DeepNull: an open-source method to improve the discovery power of genetic association studiesby Farhad Hormozdiari & Andrew Carroll
Google Open Source Blog | 11-Jan-2022
-
ब्लॉग पोस्ट
Improving Genomic Discovery with Machine Learningby Andrew Carroll & Cory McLean
Google AI Blog | 23-Jun-2021
-
ब्लॉग पोस्ट
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0by Andrew Carroll & Pi-Chuan Chang
Google AI Blog | 18-Sep-2020
-
ब्लॉग पोस्ट
DeepVariant Accuracy Improvements for Genetic Datatypesby Pi-Chuan Chang & Lizzie Dorfman
Google AI Blog | 19-Apr-2018
-
ब्लॉग पोस्ट
DeepVariant: Highly Accurate Genomes With Deep Neural Networksby Mark DePristo & Ryan Poplin
Google AI Blog | 4-Dec-2017
-
ब्लॉग पोस्ट
An AI Resident at work: Suhani Vora and her work on genomicsby Phing Lee
Google Keyword Blog | 17-Nov-2017
-
पब्लिकेशन
Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencingGoenka, S. D., Gorzynski, J. E., Shafin, K., Fisk, D. G., Pesout, T., Jensen, T. D., Monlong, J., Chang, P.-C., Baid, G., Bernstein, J. A., Christle, J. W., Dalton, K. P., Garalde, D. R., Grove, M. E., Guillory, J., Kolesnikov, A., Nattestad, M., Ruzhnikov, M. R. Z., Samadi, M., Sethia, A., Spiteri, E., Wright, C. J., Xiong, K., Zhu, T., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
Nat. Biotechnol. (2022).
-
पब्लिकेशन
Ultrarapid Nanopore Genome Sequencing in a Critical Care SettingGorzynski, J. E., Goenka, S. D., Shafin, K., Jensen, T. D., Fisk, D. G., Grove, M. E., Spiteri, E., Pesout, T., Monlong, J., Baid, G., Bernstein, J. A., Ceresnak, S., Chang, P.-C., Christle, J. W., Chubb, H., Dalton, K. P., Dunn, K., Garalde, D. R., Guillory, J., Knowles, J. W., Kolesnikov, A., Ma, M., Moscarello, T., Nattestad, M., Perez, M., Ruzhnikov, M. R. Z., Samadi, M., Setia, A., Wright, C., Wusthoff, C. J., Xiong, K., Zhu, T., Jain, M., Sedlazeck, F. J., Carroll, A., Paten, B. & Ashley, E. A.
N. Engl. J. Med. (2022).
-
पब्लिकेशन
Pangenomics enables genotyping of known structural variants in 5202 diverse genomesSirén, J., Monlong, J., Chang, X., Novak, A. M., Eizenga, J. M., Markello, C., Sibbesen, J. A., Hickey, G., Chang, P.-C., Carroll, A., Gupta, N., Gabriel, S., Blackwell, T. W., Ratan, A., Taylor, K. D., Rich, S. S., Rotter, J. I., Haussler, D., Garrison, E. & Paten, B.
Science 374 (2021).
-
पब्लिकेशन
DeepNull models non-linear covariate effects to improve phenotypic prediction and association powerMcCaw, Z. R., Colthurst, T., Yun, T., Furlotte, N. A., Carroll, A., Alipanahi, B., McLean, C. Y. & Hormozdiari, F.
Nat. Commun. 13, 241 (2022).
-
पब्लिकेशन
A population-specific reference panel for improved genotype imputation in African AmericansO’Connell, J., Yun, T., Moreno, M., Li, H., Litterman, N., Kolesnikov, A., Noblin, E., Chang, P.-C.,Shastri, A., Dorfman, E. H., Shringarpure, S., Auton, A., Carroll, A. & McLean, C. Y.
Communications Biology 4, 1–9 (2021).
-
पब्लिकेशन
Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-readsShafin, K., Pesout, T., Chang, P.-C., Nattestad, M., Kolesnikov, A., Goel, S., Baid, G., Kolmogorov, M., Eizenga, J. M., Miga, K. H., Carnevali, P., Jain, M., Carroll, A. & Paten, B.
Nat. Methods 18, 1322–1332 (2021). [readcube]
-
पब्लिकेशन
DeepConsensus: Gap-Aware Sequence Transformers for Sequence CorrectionBaid, G., Cook, D. E., Shafin, K., Yun, T., Llinares-López, F., Berthet, Q., Wenger, A. M., Rowell, W. J., Nattestad, M., Yang, H., Kolesnikov, A., Töpfer, A., Ammar, W., Vert, J.-P., Vaswani, A., McLean, C. Y., Chang, P.-C. & Carroll, A.
bioRxiv 2021.08.31.458403 (2021).
-
पब्लिकेशन
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyAlipanahi, B., Hormozdiari, F., Behsaz, B., Cosentino, J., McCaw, Z. R., Schorsch, E., Sculley, D., Dorfman, E. H., Foster, P. J., Peng, L. H., Phene, S., Hammel, N., Carroll, A., Khawaja, A. P. & McLean, C. Y.
Am. J. Hum. Genet. (2021).
-
पब्लिकेशन
Accurate, scalable cohort variant calls using DeepVariant and GLnexusYun, T., Li, H., Chang, P-C., Lin, M., Carroll, A., & McLean, C. Y.
Bioinformatics 36, 5582-5589 (2021).
-
पब्लिकेशन
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic RegressionYadlowsky, S., Yun, T., McLean, C. & D’Amour, A.
arXiv [stat.ML] (2021).
-
पब्लिकेशन
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyAlipanahi, B., Hormozdiari, F., Behsaz, B., Cosentino, J., McCaw, Z. R., Schorsch, E., Sculley, D., Dorfman, E. H., Phene, S., Hammel, N., Carroll, A., Khawaja, A. P. & McLean, C. Y.
arXiv [q-bio.GN] (2020).
-
पब्लिकेशन
GenomeWarp: an alignment-based variant coordinate transformationMcLean, C. Y., Hwang, Y., Poplin, R. & DePristo, M. A.
Bioinformatics 35, 4389–4391 (2019).
-
पब्लिकेशन
Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genomeWenger, A. M., Peluso, P., Rowell, W. J., Chang, P.-C., Hall, R. J., Concepcion, G. T., Ebler, J., Fungtammasan, A., Kolesnikov, A., Olson, N. D., Töpfer, A., Alonge, M., Mahmoud, M., Qian, Y., Chin, C.-S., Phillippy, A. M., Schatz, M. C., Myers, G., DePristo, M. A., Ruan, J., Marschall, T., Sedlazeck, F. J., Zook, J. M., Li, H., Koren, S., Carroll, A., Rank, D. R. & Hunkapiller, M. W.
Nat. Biotechnol. 37, 1155–1162 (2019). [readcube]
-
पब्लिकेशन
A universal SNP and small-indel variant caller using deep neural networksPoplin, R., Chang, P.-C., Alexander, D., Schwartz, S., Colthurst, T., Ku, A., Newburger, D., Dijamco, J., Nguyen, N., Afshar, P. T., Gross, S. S., Dorfman, L., McLean, C. Y. & DePristo, M. A.
Nat. Biotechnol. 36, 983–987 (2018). [readcube]
-
पब्लिकेशन
Deep learning of genomic variation and regulatory network dataTelenti, A., Lippert, C., Chang, P.-C. & DePristo, M.
Hum. Mol. Genet. 27, R63–R71 (2018).
-
पब्लिकेशन
Sequential regulatory activity prediction across chromosomes with convolutional neural networksKelley, D. R., Reshef, Y. A., Bileschi, M., Belanger, D., McLean, C. Y. & Snoek, J.
Genome Res. 28, 739–750 (2018).
-
ब्लॉग पोस्ट
Joint Speech Recognition and Speaker Diarization via Sequence Transductionby Laurent El Shafey and Izhak Shafran
16-Aug-2019
-
ब्लॉग पोस्ट
How AI can improve products for people with impaired speechby Julie Cattiau
Google Keyword Blog | 7-May-2019
-
ब्लॉग पोस्ट
Understanding Medical Conversationsby Katherine Chou and Chung-Cheng Chiu
Google AI Blog | 21-Nov-2017
-
पब्लिकेशन
Medical Scribe: Corpus Development and Model Performance AnalysesShafran, I., Du, N., Tran, L., Perry, A., Keyes, L., Knichel, M., Domin, A., Huang, L., Chen, Y., Li, G., Wang, M., El Shafey, L., Soltau, H. & Paul, J. S.
Proceedings of the Language Resources and Evaluation Conference. arXiv [cs.CL] (2020).
-
पब्लिकेशन
Extracting Symptoms and their Status from Clinical ConversationsDu, N., Chen, K., Kannan, A., Tran, L., Chen, Y. & Shafran, I.
Proceedings of the Annual Meeting of the Association of Computational Linguistics. arXiv [cs.LG] (2019).
-
पब्लिकेशन
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine LearningRajkomar, A., Kannan, A., Chen, K., Vardoulakis, L., Chou, K., Cui, C., & Dean, J.
JAMA Intern. Med. 179, 836–838 (2019).
-
पब्लिकेशन
Joint Speech Recognition and Speaker Diarization via Sequence TransductionEl Shafey, L., Soltau, H. & Shafran, I.
Proceedings of Interspeech. arXiv [cs.CL] (2019).
-
पब्लिकेशन
Learning to Infer Entities, Properties and their Relations from Clinical ConversationsDu, N., Wang, M., Tran, L., Li, G. & Shafran, I.
Proc. Empirical Methods in Natural Language Processing. arXiv [cs.CL] (2019).
-
पब्लिकेशन
Speech recognition for medical conversationsChiu, C.-C., Tripathi, A., Chou, K., Co, C., Jaitly, N., Jaunzeikare, D., Kannan, A., Nguyen, P., Sak, H., Sankar, A., Tansuwan, J., Wan, N., Wu, Y., & Zhang X.
arXiv [cs.CL] (2017).
-
ब्लॉग पोस्ट
Multi-task Prediction of Organ Dysfunction in ICUsby Subhrajit Roy & Diana Mincu
Google AI Blog | 22-Jul-2021
-
ब्लॉग पोस्ट
A Step Towards Protecting Patients from Medication Errorsby Kathryn Rough & Alvin Rajkomar
Google AI Blog | 2-Apr-2020
-
ब्लॉग पोस्ट
Expanding the Application of Deep Learning to Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
Google AI Blog | 22-Jan-2019
-
ब्लॉग पोस्ट
Scaling Streams with Googleby Demis Hassabis & Mustafa Suleyman & Dominic King
DeepMind Blog | 13-Nov-2018
-
ब्लॉग पोस्ट
Deep Learning for Electronic Health Recordsby Alvin Rajkomar & Eyal Oren
Google AI Blog | 8-May-2018
-
ब्लॉग पोस्ट
Making Healthcare Data Work Better with Machine Learningby Patrik Sundberg & Eyal Oren
Google AI Blog | 2-Mar-2018
-
पब्लिकेशन
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routingRoy, S., Mincu, D., Loreaux, E., Mottram, A., Protsyuk, I., Harris, N., Xue, Y., Schrouff, J., Montgomery, H., Connell, A., Tomasev, N., Karthikesalingam, A. & Seneviratne, M.
J. Am. Med. Inform. Assoc. (2021).
-
पब्लिकेशन
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsTomašev, N., Harris, N., Baur, S., Mottram, A., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Magliulo, V., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Osborne, T. F., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Seneviratne, M. G., Ledsam, J. R. & Mohamed, S.
Nat. Protoc. 1–23 (2021). [readcube]
-
पब्लिकेशन
Learning to Select Best Forecast Tasks for Clinical Outcome PredictionXue Y, Du N, Mottram A, Seneviratne A, Dai AM.
NeurIPS (2020).
-
पब्लिकेशन
Deep State-Space Generative Model For Correlated Time-to-Event PredictionsXue Y, Zhou D, Du N, Dai A, Xu Z, Zhang K, Cui C.
KDD (2020).
-
पब्लिकेशन
Graph convolutional transformer: Learning the graphical structure of electronic health recordsChoi E, Xu Z, Li Y, Dusenberry MW, Flores G, Xue Y, Dai AM.
AAAI (2020).
-
पब्लिकेशन
Analyzing the role of model uncertainty for electronic health recordsDusenberry MW, Tran D, Choi E, Kemp J, Nixon J, Jerfel G, Heller K, & Dai AM.
ACM CHIL (2020).
-
पब्लिकेशन
Explaining an increase in predicted risk for clinical alertsHardt M, Rajkomar A, Flores G, Dai A, Howell M, Corrado G, Cui C, & Hardt M.
ACM CHIL (2020).
-
पब्लिकेशन
Predicting inpatient medication orders from electronic health record dataRough, K., Dai, A. M., Zhang, K., Xue, Y., Vardoulakis, L. M., Cui, C., Butte, A. J., Howell, M. D. & Rajkomar, A.
Clin. Pharmacol. Ther. 108, 145–154 (2020).
-
पब्लिकेशन
A clinically applicable approach to continuous prediction of future acute kidney injuryTomašev, N., Glorot, X., Rae, J. W., Zielinski, M., Askham, H., Saraiva, A., Mottram, A., Meyer, C., Ravuri, S., Protsyuk, I., Connell, A., Hughes, C. O., Karthikesalingam, A., Cornebise, J., Montgomery, H., Rees, G., Laing, C., Baker, C. R., Peterson, K., Reeves, R., Hassabis, D., King, D., Suleyman, M., Back, T., Nielson, C., Ledsam, J. R. & Mohamed, S.
Nature 572, 116–119 (2019). [readcube]
-
पब्लिकेशन
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissionsConnell, A., Montgomery, H., Martin, P., Nightingale, C., Sadeghi-Alavijeh, O., King, D., Karthikesalingam, A., Hughes, C., Back, T., Ayoub, K., Suleyman, M., Jones, G., Cross, J., Stanley, S., Emerson, M., Merrick, C., Rees, G., Laing, C. & Raine, R.
npj Digit Med 2, 67 (2019).
-
पब्लिकेशन
Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care CostsConnell A., Raine R., Martin P., Barbosa E.C., Morris S., Nightingale C., Sadeghi-Alavijeh O., King D., Karthikesalingam A., Hughes C., Back T., Ayoub K., Suleyman M., Jones G., Cross J., Stanley S., Emerson M., Merrick C., Rees G., Montgomery H., & Laing C.
J Med Internet Res 21(7):e13147 (2019).
-
पब्लिकेशन
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care ProfessionalsConnell A, Black G, Montgomery H, Martin P, Nightingale C, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, & Raine R.
J Med Internet Res 21(7):e13143 (2019).
-
पब्लिकेशन
Improved Patient Classification with Language Model Pretraining Over Clinical NotesKemp J, Rajkomar A, & Dai AM.
arXiv [cs.LG] (2019).
-
पब्लिकेशन
Federated and Differentially Private Learning for Electronic Health RecordsPfohl SR, Dai AM, & Heller K.
arXiv [cs.LG] (2019).
-
पब्लिकेशन
Deep Physiological State Space Model for Clinical ForecastingXue Y, Zhou D, Du N, Dai AM, Xu Z, Zhang K,& Cui C.
arXiv [cs.LG] (2019).
-
पब्लिकेशन
Modelling EHR timeseries by restricting feature interactionZhang K, Xue Y, Flores G, Rajkomar A, Cui C, & Dai AM.
arXiv [cs.LG] (2019).
-
पब्लिकेशन
Scalable and accurate deep learning with electronic health recordsRajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P, Yee H, Zhang K, Zhang Y, Flores G, Duggan GE, Irvine J, Le Q, Litsch K, Mossin A, Tansuwan J, Wang, Wexler J, Wilson J, Ludwig D, Volchenboum SL, Chou K, Pearson M, Madabushi S, Shah NH, Butte AJ, Howell MD, Cui C, Corrado GS, Dean J.
npj Digital Med 1, 18 (2018).
-
ब्लॉग पोस्ट
Expanding research on digital wellbeingby Nicholas Allen
Google Keyword Blog | 23-May-2022
-
ब्लॉग पोस्ट
Advancing health research with Google Health Studiesby Jon Morgan & Paul Eastham
Google Keyword Blog | 9-Dec-2020
-
ब्लॉग पोस्ट
How AI could predict sight-threatening eye conditionsby Terry Spitz & Jim Winkens
Google Keyword Blog | 18-May-2020
-
ब्लॉग पोस्ट
Using AI to predict retinal disease progressionby Jason Yim, Reena Chopra, Jeffrey De Fauw & Joseph Ledsam
DeepMind Blog | 18-May-2020
-
ब्लॉग पोस्ट
Detecting hidden signs of anemia from the eyeby Akinori Mitani
Google Keyword Blog | 28-Jan-2020
-
ब्लॉग पोस्ट
Assessing Cardiovascular Risk Factors with Computer Visionby Lily Peng
Google AI Blog | 2-Feb-2018
-
पब्लिकेशन
Retinal fundus photographs capture hemoglobin loss after blood donationMitani, A., Traynis, I., Singh, P., Corrado, G. S., Webster, D. R., Peng, L. H., Varadarajan, A. V., Liu, Y. & Hammel, N.
doi:10.1101/2021.12.30.21268488
-
पब्लिकेशन
Predicting the risk of developing diabetic retinopathy using deep learningBora, A., Balasubramanian, S., Babenko, B., Virmani, S., Venugopalan, S., Mitani, A., de Oliveira Marinho, G., Cuadros, J., Ruamviboonsuk, P., Corrado, G. S., Peng, L., Webster, D. R., Varadarajan, A. V., Hammel, N., Liu, Y. & Bavishi, P.
The Lancet Digital Health (2020). doi:10.1016/S2589-7500(20)30250-8
-
पब्लिकेशन
Quantitative analysis of optical coherence tomography for neovascular age-related macular degeneration using deep learningMoraes, G., Fu, D. J., Wilson, M., Khalid, H., Wagner, S. K., Korot, E., Ferraz, D., Faes, L., Kelly, C. J., Spitz, T., Patel, P. J., Balaskas, K., Keenan, T. D. L., Keane, P. A. & Chopra, R.
Ophthalmology (2020). doi:10.1016/j.ophtha.2020.09.025
-
पब्लिकेशन
Scientific Discovery by Generating Counterfactuals Using Image TranslationNarayanaswamy, A., Venugopalan, S., Webster, D. R., Peng, L., Corrado, G. S., Ruamviboonsuk, P., Bavishi, P., Brenner, M., Nelson, P. C. & Varadarajan, A. V.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 273–283 (2020). doi:10.1007/978-3-030-59710-8_27 arXiv
-
पब्लिकेशन
Predicting conversion to wet age-related macular degeneration using deep learningYim, J., Chopra, R., Spitz, T., Winkens, J., Obika, A., Kelly, C., Askham, H., Lukic, M., Huemer, J., Fasler, K., Moraes, G., Meyer, C., Wilson, M., Dixon, J., Hughes, C., Rees, G., Khaw, P. T., Karthikesalingam, A., King, D., Hassabis, D., Suleyman, M., Back, T., Ledsam, J. R., Keane, P. A. & De Fauw, J.
Nat. Med. (2020). [readcube]
-
पब्लिकेशन
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learningVaradarajan, A. V., Bavishi, P., Ruamviboonsuk, P., Chotcomwongse, P., Venugopalan, S., Narayanaswamy, A., Cuadros, J., Kanai, K., Bresnick, G., Tadarati, M., Silpa-Archa, S., Limwattanayingyong, J., Nganthavee, V., Ledsam, J. R., Keane, P. A., Corrado, G. S., Peng, L. & Webster, D. R.
Nat. Commun. 11, 130 (2020).
-
पब्लिकेशन
Detection of anaemia from retinal fundus images via deep learningMitani, A., Huang, A., Venugopalan, S., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N., Liu, Y. & Varadarajan, A. V.
Nat Biomed Eng (2019). [readcube]
-
पब्लिकेशन
Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep LearningBabenko, B., Balasubramanian, S., Blumer, K. E., Corrado, G. S., Peng, L., Webster, D. R., Hammel, N. & Varadarajan, A. V.
arXiv [cs.CV] (2019).
-
पब्लिकेशन
Deep Learning for Predicting Refractive Error From Retinal Fundus Imagesaradarajan, A.V., Poplin, R., Blumer, K., Angermueller, C., Lesdam, J., Chopra, R., Keane, P.A., Corrado, G. S., Peng, L., Webster, D. R.
Invest. Ophthalmol. Vis. Sci. 59, 2861–2868 (2018).
-
पब्लिकेशन
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learningPoplin, R., Varadarajan, A. V., Blumer, K., Liu, Y., McConnell, M. V., Corrado, G. S., Peng, L., & Webster, D. R.
Nat. Biomed. Eng. 2, 158–164 (2018). [readcube]
-
ब्लॉग पोस्ट
Verily and Lumea Announce Development Partnership to Advance Digital Pathology in Prostate CancerVerily Blog | 16-Mar-2022
-
ब्लॉग पोस्ट
An International Scientific Challenge for the Diagnosis and Gleason Grading of Prostate Cancerby Po-Hsuan Cameron Chen & Maggie Demkin
Google AI Blog | 11-Feb-2022
-
ब्लॉग पोस्ट
The promise of using AI to help prostate cancer careby Po-Hsuan Cameron Chen & Yun Liu
Google Keyword Blog | 23-Sept-2021
-
ब्लॉग पोस्ट
PAIR @ CHI 2021by People + AI Research
People + AI Research Blog | 14-May-2021
-
ब्लॉग पोस्ट
Learning from deep learning: developing interpretable AI approaches in histopathology to predict patient prognosis and explore novel featuresby Dave Steiner, Yun Liu, Craig Mermel, Kurt Zatloukal, Heimo Muller, Markus Plass
npj Digital Medicine Blog | 19-Apr-2021
-
ब्लॉग पोस्ट
Defense Innovation Unit Selects Google Cloud to Help U.S. Military Health System with Predictive Cancer DiagnosesGoogle Cloud Blog | 2-Sep-2020
-
ब्लॉग पोस्ट
Using AI to identify the aggressiveness of prostate cancerby Kunal Nagpal & Craig Mermel
Google Keyword Blog | 23-Jul-2020
-
ब्लॉग पोस्ट
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Modelsby Timo Kohlberger & Yuan Liu
Google AI Blog | 19-Feb-2020
-
ब्लॉग पोस्ट
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathologyby Narayan Hedge & Carrie Cai
Google AI Blog | 19-July-2019
-
ब्लॉग पोस्ट
Improved Grading of Prostate Cancer Using Deep Learningby Martin Stumpe & Craig Mermel
Google AI Blog | 16-Nov-2018
-
ब्लॉग पोस्ट
Applying Deep Learning to Metastatic Breast Cancer Detectionby Martin Stumpe & Craig Mermel
Google AI Blog | 12-Oct-2018
-
ब्लॉग पोस्ट
An Augmented Reality Microscope for Cancer Detectionby Martin Stumpe & Craig Mermel
Google AI Blog | 16-Apr-2018
-
ब्लॉग पोस्ट
Assisting Pathologists in Detecting Cancer with Deep Learningby Martin Stumpe & Lily Peng
Google AI Blog | 3-Mar-2017
-
पब्लिकेशन
Deep learning models for histologic grading of breast cancer and association with disease prognosisJaroensri, R., Wulczyn, E., Hegde, N., Brown, T., Flament-Auvigne, I., Tan, F., Cai, Y., Nagpal, K., Rakha, E. A., Dabbs, D. J., Olson, N., Wren, J. H., Thompson, E. E., Seetao, E., Robinson, C., Miao, M., Beckers, F., Corrado, G. S., Peng, L. H., Mermel, C. H., Liu, Y., Steiner, D. F. & Chen, P.-H. C.
npj Breast Cancer 8, 1–12 (2022).
-
पब्लिकेशन
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challengeBulten, W., Kartasalo, K., Chen, P.-H. C., Ström, P., Pinckaers, H., Nagpal, K., Cai, Y., Steiner, D. F., van Boven, H., Vink, R., Hulsbergen-van de Kaa, C., van der Laak, J., Amin, M. B., Evans, A. J., van der Kwast, T., Allan, R., Humphrey, P. A., Grönberg, H., Samaratunga, H., Delahunt, B., Tsuzuki, T., Häkkinen, T., Egevad, L., Demkin, M., Dane, S., Tan, F., Valkonen, M., Corrado, G. S., Peng, L., Mermel, C. H., Ruusuvuori, P., Litjens, G. & Eklund, M.
Nat. Med. 1–10 (2022).
-
पब्लिकेशन
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology imagesSadhwani, A., Chang, H.-W., Behrooz, A., Brown, T., Auvigne-Flament, I., Patel, H., Findlater, R., Velez, V., Tan, F., Tekiela, K., Wulczyn, E., Yi, E. S., Mermel, C. H., Hanks, D., Chen, P.-H. C., Kulig, K., Batenchuk, C., Steiner, D. F. & Cimermancic, P.
Sci. Rep. 11, 1–11 (2021).
-
पब्लिकेशन
Determining breast cancer biomarker status and associated morphological features using deep learningGamble, P., Jaroensri, R., Wang, H., Tan, F., Moran, M., Brown, T., Flament-Auvigne, I., Rakha, E. A., Toss, M., Dabbs, D. J., Regitnig, P., Olson, N., Wren, J. H., Robinson, C., Corrado, G. S., Peng, L. H., Liu, Y., Mermel, C. H., Steiner, D. F. & Chen, P.-H. C.
Communications Medicine 1, 1–12 (2021).
-
पब्लिकेशन
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingWulczyn, E., Nagpal, K., Symonds, M., Moran, M., Plass, M., Reihs, R., Nader, F., Tan, F., Cai, Y., Brown, T., Flament-Auvigne, I., Amin, M. B., Stumpe, M. C., Müller, H., Regitnig, P., Holzinger, A., Corrado, G. S., Peng, L. H., Chen, P.-H. C., Steiner, D. F., Zatloukal, K., Liu, Y. & Mermel, C. H.
Communications Medicine 1, 1–8 (2021).
-
पब्लिकेशन
Onboarding Materials as Boundary Objects for Developing AI AssistantsCai, C.J., Steiner, D., Wilcox, L., Terry, M. and Winter, S.
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, ACM (2021).
-
पब्लिकेशन
Interpretable survival prediction for colorectal cancer using deep learningWulczyn, E., Steiner, D. F., Moran, M., Plass, M., Reihs, R., Tan, F., Flament-Auvigne, I., Brown, T., Regitnig, P., Chen, P.-H. C., Hegde, N., Sadhwani, A., MacDonald, R., Ayalew, B., Corrado, G. S., Peng, L. H., Tse, D., Müller, H., Xu, Z., Liu, Y., Stumpe, M. C., Zatloukal, K. & Mermel, C. H.
npj Digital Medicine 4, 1–13 (2021).
-
पब्लिकेशन
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesSteiner, D. F., Nagpal, K., Sayres, R., Foote, D. J., Wedin, B. D., Pearce, A., Cai, C. J., Winter, S. R., Symonds, M., Yatziv, L., Kapishnikov, A., Brown, T., Flament-Auvigne, I., Tan, F., Stumpe, M. C., Jiang, P.-P., Liu, Y., Chen, P.-H. C., Corrado, G. S., Terry, M. & Mermel, C. H.
JAMA Netw Open 3, e2023267–e2023267 (2020).
-
पब्लिकेशन
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensNagpal, K., Foote, D., Tan, F., Liu, Y., Chen, P.-H. C., Steiner, D. F., Manoj, N., Olson, N., Smith, J. L., Mohtashamian, A., Peterson, B., Amin, M. B., Evans, A. J., Sweet, J. W., Cheung, C., van der Kwast, T., Sangoi, A. R., Zhou, M., Allan, R., Humphrey, P. A., Hipp, J. D., Gadepalli, K., Corrado, G. S., Peng, L. H., Stumpe, M. C. & Mermel, C. H.
JAMA Oncol (2020).
-
पब्लिकेशन
Deep learning-based survival prediction for multiple cancer types using histopathology imagesWulczyn, E., Steiner, D. F., Xu, Z., Sadhwani, A., Wang, H., Flament-Auvigne, I., Mermel, C. H., Chen, P.-H. C., Liu, Y. & Stumpe, M. C.
PLOS ONE 15, e0233678 (2020).
-
पब्लिकेशन
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer DetectionKohlberger, T., Liu, Y., Moran, M., Chen, P.-H. C., Brown, T., Hipp, J. D., Mermel, C. H. & Stumpe, M. C.
J. Pathol. Inform. 10, 39 (2019).
-
पब्लिकेशन
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosisChen, P.C., Gadepalli, K., MacDonald, R., Liu, Y., Kadowaki, S., Nagpal, K., Kohlberger, T., Dean, J., Corrado, G.S., Hipp, J.D., Mermel, C.H., Stumpe, M. C.
Nat Med 25, 1453–1457 (2019). [readcube]
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पब्लिकेशन
Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for PathologistsLiu, Y., Kohlberger, T., Norouzi, M., Dahl, G. E., Smith, J. L., Mohtashamian, A., Olson, N., Peng, L.H., Hipp, J.D., Stumpe, M.C. (2019).
Arch. Pathol. Lab. Med. 143, 859–868 (2019).
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पब्लिकेशन
Similar image search for histopathology: SMILYHegde, N., Hipp, J. D., Liu, Y., Emmert-Buck, M., Reif, E., Smilkov, D., Terry, M., Cai, C. J., Amin, M. B., Mermel, C. H., Nelson, P. Q., Peng, L. H., Corrado, G. S. & Stumpe, M. C.
npj Digit Med 2, 56 (2019).
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पब्लिकेशन
"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-MakingCai, C.J., Winter, S., Steiner, D., Wilcox, L. and Terry, M.
Proceedings of the ACM on Human-computer Interaction, 3(CSCW), pp.1-24 (2019)
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पब्लिकेशन
Human-centered tools for coping with imperfect algorithms during medical decision-makingCai, C.J., Reif, E., Hegde, N., Hipp, J., Kim, B., Smilkov, D., Wattenberg, M., Viegas, F., Corrado, G.S., Stumpe, M.C. and Terry, M.
In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-14) (2019).
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पब्लिकेशन
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerNagpal, K., Foote, D., Liu, Y., Chen, P.H.C., Wulczyn, E., Tan, F., Olson, N., Smith, J.L., Mohtashamian, A., Wren, J.H., Corrado, G.S., MacDonald, R., Peng, L. H., Amin, M.B., Evans, A.J., Sanjoi, A.R., Mermel, C. H., Hipp, J. D., Stumpe, M. C.
npj Digit. Med. 2, 48 (2019).
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पब्लिकेशन
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast CancerSteiner, D. F., MacDonald, R., Liu, Y., Truszkowski, P., Hipp, J. D., Gammage, C., Thng, F., Peng, L., Stumpe, M.C.
Am. J. Surg. Pathol. 42, 1636–1646 (2018).
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पब्लिकेशन
Detecting cancer metastases on gigapixel pathology imagesLiu, Y., Gadepalli, K., Norouzi, M., Dahl, G.E., Kohlberger, T., Boyko, A., Venugopalan, S., Timofeev, A., Nelson, P.Q., Corrado, G.S. and Hipp, J.D., Peng, L., Stumpe, M. C.
arXiv preprint arXiv:1703.02442 (2017).
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ब्लॉग पोस्ट
New Insights into Human Mobility with Privacy Preserving Aggregationby Adam Sadilek & Xerxes Dotiwalla
Google AI Blog | 12-Nov-2019
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पब्लिकेशन
An evaluation of Internet searches as a marker of trends in population mental health in the USVaidyanathan, U., Sun, Y., Shekel, T., Chou, K., Galea, S., Gabrilovich, E. & Wellenius, G. A.
Sci. Rep. 12, 8946 (2022). [readcube]
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पब्लिकेशन
COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus diseaseWahltinez, O., Cheung, A., Alcantara, R., Cheung, D., Daswani, M., Erlinger, A., Lee, M., Yawalkar, P., Lê, P., Navarro, O. P., Brenner, M. P. & Murphy, K.
Sci Data 9, 162 (2022).
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पब्लिकेशन
Google COVID-19 Vaccination Search Insights: Anonymization Process DescriptionBavadekar, S., Boulanger, A., Davis, J., Desfontaines, D., Gabrilovich, E., Gadepalli, K., Ghazi, B., Griffith, T., Gupta, J., Kamath, C., Kraft, D., Kumar, R., Kumok, A., Mayer, Y., Manurangsi, P., Patankar, A., Perera, I. M., Scott, C., Shekel, T., Miller, B., Smith, K., Stanton, C., Sun, M., Young, M. & Wellenius, G.
arXiv [cs.CR] (2021).
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पब्लिकेशन
Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020Woskie, L. R., Hennessy, J., Espinosa, V., Tsai, T. C., Vispute, S., Jacobson, B. H., Cattuto, C., Gauvin, L., Tizzoni, M., Fabrikant, A., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Stanton, C., Bavadekar, S., Abueg, M., Hogue, M., Oplinger, A., Chou, K., Corrado, G., Shekel, T., Jha, A. K., Wellenius, G. A. & Gabrilovich, E.
PLoS One 16, e0253071 (2021).
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पब्लिकेशन
Impacts of social distancing policies on mobility and COVID-19 case growth in the USWellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Dai, A., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Mandayam, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., Jacobson, B. H., Armstrong, Z., Gipson, B., Wilson, R., Widdowson, A., Chou, K., Oplinger, A., Shekel, T., Jha, A. K. & Gabrilovich, E.
Nat. Commun. 12, 3118 (2021).
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पब्लिकेशन
Forecasting influenza activity using machine-learned mobility mapVenkatramanan, S., Sadilek, A., Fadikar, A., Barrett, C. L., Biggerstaff, M., Chen, J., Dotiwalla, X., Eastham, P., Gipson, B., Higdon, D., Kucuktunc, O., Lieber, A., Lewis, B. L., Reynolds, Z., Vullikanti, A. K., Wang, L. & Marathe, M.
Nat. Commun. 12, 726 (2021).
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पब्लिकेशन
Global maps of travel time to healthcare facilitiesWeiss, D. J., Nelson, A., Vargas-Ruiz, C. A., Gligorić, K., Bavadekar, S., Gabrilovich, E., Bertozzi-Villa, A., Rozier, J., Gibson, H. S., Shekel, T., Kamath, C., Lieber, A., Schulman, K., Shao, Y., Qarkaxhija, V., Nandi, A. K., Keddie, S. H., Rumisha, S., Amratia, P., Arambepola, R., Chestnutt, E. G., Millar, J. J., Symons, T. L., Cameron, E., Battle, K. E., Bhatt, S. & Gething, P. W.
Nat. Med. (2020).
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पब्लिकेशन
Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington stateAbueg, M., Hinch, R., Wu, N., Liu, L., Probert, W. J. M., Wu, A., Eastham, P., Shafi, Y., Rosencrantz, M., Dikovsky, M., Cheng, Z., Nurtay, A., Abeler-Dörner, L., Bonsall, D. G., McConnell, M. V., O’Banion, S. & Fraser, C.
medRxiv (2020). doi:10.1101/2020.08.29.20184135
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पब्लिकेशन
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)Bavadekar, S., Dai, A., Davis, J., Desfontaines, D., Eckstein, I., Everett, K., Fabrikant, A., Flores, G., Gabrilovich, E., Gadepalli, K., Glass, S., Huang, R., Kamath, C., Kraft, D., Kumok, A., Marfatia, H., Mayer, Y., Miller, B., Pearce, A., Perera, I. M., Ramachandran, V., Raman, K., Roessler, T., Shafran, I., Shekel, T., Stanton, C., Stimes, J., Sun, M., Wellenius, G. & Zoghi, M.
arXiv [cs.CR] (2020).
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पब्लिकेशन
Impacts of State-Level Policies on Social Distancing in the United States Using Aggregated Mobility Data during the COVID-19 PandemicWellenius, G. A., Vispute, S., Espinosa, V., Fabrikant, A., Tsai, T. C., Hennessy, J., Williams, B., Gadepalli, K., Boulanger, A., Pearce, A., Kamath, C., Schlosberg, A., Bendebury, C., Stanton, C., Bavadekar, S., Pluntke, C., Desfontaines, D., Jacobson, B., Armstrong, Z., Gipson, B., Wilson, R., Widdowson, A., Chou, K., Oplinger, A., Shekel, T., Jha, A. K. & Gabrilovich, E.
arXiv [q-bio.PE] (2020).
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पब्लिकेशन
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)Aktay, A., Bavadekar, S., Cossoul, G., Davis, J., Desfontaines, D., Fabrikant, A., Gabrilovich, E., Gadepalli, K., Gipson, B., Guevara, M., Kamath, C., Kansal, M., Lange, A., Mandayam, C., Oplinger, A., Pluntke, C., Roessler, T., Schlosberg, A., Shekel, T., Vispute, S., Vu, M., Wellenius, G., Williams, B. & Wilson, R. J.
arXiv [cs.CR] (2020).
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पब्लिकेशन
Assessing the impact of coordinated COVID-19 exit strategies across EuropeRuktanonchai, N. W., Floyd, J. R., Lai, S., Ruktanonchai, C. W., Sadilek, A., Rente-Lourenco, P., Ben, X., Carioli, A., Gwinn, J., Steele, J. E., Prosper, O., Schneider, A., Oplinger, A., Eastham, P. & Tatem, A. J.
Science 369, 1465–1470 (2020).
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पब्लिकेशन
Lymelight: forecasting Lyme disease risk using web search dataSadilek, A., Hswen, Y., Bavadekar, S., Shekel, T., Brownstein, J. S. & Gabrilovich, E.
npj Digital Medicine 3, 1–12 (2020).
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पब्लिकेशन
Hierarchical organization of urban mobility and its connection with city livabilityBassolas, A., Barbosa-Filho, H., Dickinson, B., Dotiwalla, X., Eastham, P., Gallotti, R., Ghoshal, G., Gipson, B., Hazarie, S. A., Kautz, H., Kucuktunc, O., Lieber, A., Sadilek, A., & Ramasco, J. J.
Nat. Commun. 10, 4817 (2019).
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पब्लिकेशन
Machine-learned epidemiology: real-time detection of foodborne illness at scaleSadilek, A., Caty, S., DiPrete, L., Mansour, R., Schenk Jr., T., Bergtholdt, M., Jha, A., Ramaswami P., & Gabrilovich E.
npj Digital Med 1, 36 (2018).
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ब्लॉग पोस्ट
Simplified Transfer Learning for Chest Radiography Model Developmentby Akib Uddin & Andrew Sellergren
Google AI Blog | 19-Jul-2022
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ब्लॉग पोस्ट
Mammography collaboration in JapanGoogle Japan Blog | 25-Nov-2021
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ब्लॉग पोस्ट
Detecting Abnormal Chest X-rays using Deep Learningby Zaid Nabulsi & Po-Hsuan Cameron Chen
Google AI Blog | 1-Sep-2021
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ब्लॉग पोस्ट
Tackling tuberculosis screening with AIby Rory Pilgrim & Shruthi Prabhakara
Google Keyword Blog | 18-May-2021
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ब्लॉग पोस्ट
Using artificial intelligence in breast cancer screeningby Sunny Jansen & Krish Eswaran
Google Keyword Blog | 25-Feb-2021
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ब्लॉग पोस्ट
Exploring AI for radiotherapy planning with Mayo Clinicby Cian Hughes
Google Keyword Blog | 29-Oct-2020
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ब्लॉग पोस्ट
Using AI to improve breast cancer screeningby Shravya Shetty & Daniel Tse
Google Keyword Blog | 1-Jan-2020
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ब्लॉग पोस्ट
Developing Deep Learning Models for Chest X-rays with Adjudicated Image Labelsby Dave Steiner & Shravya Shetty
Google AI Blog | 3-Dec-2019
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ब्लॉग पोस्ट
A promising step forward for predicting lung cancerby Shravya Shetty
Google Keyword Blog | 20-May-2019
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पब्लिकेशन
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessmentGomes, R. G., Vwalika, B., Lee, C., Willis, A., Sieniek, M., Price, J. T., Chen, C., Kasaro, M. P., Taylor, J. A., Stringer, E. M., McKinney, S. M., Sindano, N., Dahl, G. E., Goodnight, W., Gilmer, J., Chi, B. H., Lau, C., Spitz, T., Saensuksopa, T., Liu, K., Tiyasirichokchai, T., Wong, J., Pilgrim, R., Uddin, A., Corrado, G., Peng, L., Chou, K., Tse, D., Stringer, J. S. A. & Shetty, S.
Communications Medicine 2, 1–9 (2022).
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पब्लिकेशन
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of RadiologistsKazemzadeh, S., Yu, J., Jamshy, S., Pilgrim, R., Nabulsi, Z., Chen, C., Beladia, N., Lau, C., McKinney, S. M., Hughes, T., Kiraly, A. P., Kalidindi, S. R., Muyoyeta, M., Malemela, J., Shih, T., Corrado, G. S., Peng, L., Chou, K., Chen, P.-H. C., Liu, Y., Eswaran, K., Tse, D., Shetty, S. & Prabhakara, S.
Radiology 212213 (2022).
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पब्लिकेशन
Simplified Transfer Learning for Chest Radiography Models Using Less DataSellergren, A. B., Chen, C., Nabulsi, Z., Li, Y., Maschinot, A., Sarna, A., Huang, J., Lau, C., Kalidindi, S. R., Etemadi, M., Garcia-Vicente, F., Melnick, D., Liu, Y., Eswaran, K., Tse, D., Beladia, N., Krishnan, D. & Shetty, S.
Radiology 212482 (2022).
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पब्लिकेशन
Study Design: Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planningAnand, A., Beltran, C. J., Brooke, M. D., Buroker, J. R., DeWees, T. A., Foote, R. L., Foss, O. R., Hughes, C. O., Hunzeker, A. E., John Lucido, J., Morigami, M., Moseley, D. J., Pafundi, D. H., Patel, S. H., Patel, Y., Ridgway, A. K., Tryggestad, E. J., Wilson, M. Z., Xi, L. & Zverovitch, A.
medRxiv 2021.12.07.21266421 (2021).
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पब्लिकेशन
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19Nabulsi, Z., Sellergren, A., Jamshy, S., Lau, C., Santos, E., Kiraly, A. P., Ye, W., Yang, J., Pilgrim, R., Kazemzadeh, S., Yu, J., Kalidindi, S. R., Etemadi, M., Garcia-Vicente, F., Melnick, D., Corrado, G. S., Peng, L., Eswaran, K., Tse, D., Beladia, N., Liu, Y., Chen, P.-H. C. & Shetty, S.
Sci. Rep. 11, 1–15 (2021).
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पब्लिकेशन
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation StudyNikolov, S., Blackwell, S., Zverovitch, A., Mendes, R., Livne, M., De Fauw, J., Patel, Y., Meyer, C., Askham, H., Romera-Paredes, B., Kelly, C., Karthikesalingam, A., Chu, C., Carnell, D., Boon, C., D’Souza, D., Moinuddin, S. A., Garie, B., McQuinlan, Y., Ireland, S., Hampton, K., Fuller, K., Montgomery, H., Rees, G., Suleyman, M., Back, T., Hughes, C. O., Ledsam, J. R. & Ronneberger, O.
J. Med. Internet Res. 23, e26151 (2021).
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पब्लिकेशन
Improving reference standards for validation of AI-based radiographyDuggan, G. E., Reicher, J. J., Liu, Y., Tse, D. & Shetty, S.
Br J Radiol. 94, 20210435 (2021).
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पब्लिकेशन
International evaluation of an AI system for breast cancer screeningMcKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., Back, T., Chesus, M., Corrado, G. S., Darzi, A., Etemadi, M., Garcia-Vicente, F., Gilbert, F. J., Halling-Brown, M., Hassabis, D., Jansen, S., Karthikesalingam, A., Kelly, C. J., King, D., Ledsam, J. R., Melnick, D., Mostofi, H., Peng, L., Reicher, J. J., Romera-Paredes, B., Sidebottom, R., Suleyman, M., Tse, D., Young, K. C., De Fauw, J. & Shetty, S.
Nature 577, 89–94 (2020). [readcube]
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पब्लिकेशन
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted EvaluationMajkowska, A., Mittal, S., Steiner, D. F., Reicher, J. J., McKinney, S. M., Duggan, G. E., Eswaran, K., Cameron Chen, P.-H., Liu, Y., Kalidindi, S. R., Ding, A., Corrado, G. S., Tse, D. & Shetty, S.
Radiology 191293 (2019).
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पब्लिकेशन
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomographyArdila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reciher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., Naidich, D. P., Shetty, S.
Nat. Med. 25, 954–961 (2019). [readcube]