Google eye-screening AI passes one million patients in three nations
TL;DR
- Google's diabetic retinopathy detection model has been used to screen over one million patients across three health systems in India, Thailand and Australia.
- The Nature Medicine Comment, published 23 September 2026, names Aravind Eye Care System, Rajavithi Hospital and Lions Outback Vision as the anchor deployment sites.
- Authors include Google's Richa Tiwari, Rajroshan Sawhney and Kasumi Widner, with clinical collaborators Paisan Ruamviboonsuk and Angus Turner.
Google's diabetic retinopathy detection model has been used to screen over one million patients across three health systems, according to a Comment published in Nature Medicine on 23 September 2026. The anchor sites are Aravind Eye Care System in Madurai, Rajavithi Hospital in Bangkok, and Lions Outback Vision at the Lions Eye Institute in Western Australia.
The authors write that scaling the tool across "three highly distinct settings" in India, Thailand and Australia offers "cross-cutting insights that may inform the expansion of healthcare artificial intelligence globally."
Named authors include Richa Tiwari, Rajroshan Sawhney and Kasumi Widner from Google, with Paisan Ruamviboonsuk of Rajavithi Hospital and Angus Turner of the Lions Eye Institute.
The piece is a Comment, not a trial report. It does not publish per-site accuracy figures, patient outcomes, or the commercial terms Google reached with each health system. The million-patient count and the practical account of getting there are what the paper puts on the record.
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Over a million patients were screened for diabetic eye disease as Google scaled its clinical tool across India, Thailand, and Australia. One of the biggest challenges wasn't the model itself; it was sorting out camera o…
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Originally reported by nature.com
Read the original article →Original headline: Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened - Nature Medicine