Partnering for a healthier future
Google Health is partnering with world-class clinical, public health and academic organizations to deploy solutions for transformative healthcare tools and services. Combining our partners’ knowledge and experience, Google’s technological expertise, and patient insights, we are able to conduct critical research and work towards advanced healthcare solutions for individuals, caregivers and health professionals. Through our collaborative efforts, we aim to bring emerging technologies to routine practice to realize Google Health’s mission of improving the lives of all people.
We are working with Apollo Hospitals in India to study the use of available and affordable diagnostic tools, such as x-rays, to understand how deep-learning models can be integrated into clinical workflows at scale to improve accuracy and availability of diagnostic services.
We are collaborating with Aravind Eye Hospital in India, in our development and deployment of machine learning and artificial intelligence capabilities for retinal imaging, with a focus on diagnosing diabetic retinopathy, to help eliminate needless blindness.
We are working with Ascension, a leading U.S. health system with 2,700 sites of care, to deploy a solution that is focused on transforming the clinician experience and improving patient care.
We are collaborating with the Centre for Infectious Disease Research in Zambia (CIDRZ) to understand how tools augmented with AI powered by Google could assist with diagnosis and assessment, and how those models might help clinicians identify the best next steps for patients being evaluated for TB.
Pairing the world-class clinical expertise of Mayo Clinic with the advanced cloud computing, data analytics, and artificial intelligence of Google, we are working to research and build transformational solutions that equip healthcare providers with the best possible tools to care for patients, and improve the health and well-being of the people we serve globally.
Google is collaborating with Northwestern Medicine on clinical research to optimize and increase the accuracy of the screening process for early lung and breast cancer detection, to help enable earlier treatment.
We are collaborating with Rajavithi Hospital (affiliated with the Ministry of Public Health Thailand) in our development and deployment of machine learning and artificial intelligence capabilities for retinal imaging, with a focus on diagnosing diabetic retinopathy, to help eliminate preventable blindness.
We’ve partnered with Sankara Nethralaya in India, in their mission to eradicate curable blindness by leveraging our artificial intelligence and machine learning technology to improve retinal imaging for earlier diagnosis of diabetic retinopathy.
We are collaborating with Stanford Medicine to transform how health care providers use data to personalize treatments for their patients. By combining Stanford Medicine’s expertise in medical research and clinical care with Google’s data science, machine learning, and artificial intelligence capabilities, our goal is to bring precision health to more people.