{"schemaVersion":"1.0","generatedFrom":"https://brightaifuture.com/discoveries/retinopathy-scaling","record":{"id":"retinopathy-scaling","headline":"Eye screening that reached a million people.","canonicalUrl":"https://brightaifuture.com/discoveries/retinopathy-scaling","datePublished":"2026-09-27","dateModified":null,"sourcePublicationDate":"2026-09-23","author":null,"publisher":{"name":"Bright AI Future","url":"https://brightaifuture.com/"},"topics":[],"summary":"Doctors in India, Thailand and Australia describe what it actually took to run the same diabetic-eye-screening AI across more than a million patients — the practical lessons, not just the accuracy.","evidenceState":"Deployed","keyFacts":[{"label":"AI’s role","value":"A deep-learning tool read retinal images to flag people who needed a specialist referral, deployed across three health systems."},{"label":"Documented result","value":"A Nature Medicine Comment reports the tool was deployed across Aravind Eye Care System (India), Rajavithi Hospital (Thailand) and Lions Outback Vision (Australia), screening over one million patients, and draws cross-cutting lessons for scaling healthcare AI."},{"label":"Important limitation","value":"This is a Comment reflecting on deployment, not a new controlled trial, and the work was funded by Alphabet Inc. with several authors employed by Alphabet; the lessons are the authors’ own account, not independent evaluation."}],"limitations":["This is a Comment reflecting on deployment, not a new controlled trial, and the work was funded by Alphabet Inc. with several authors employed by Alphabet; the lessons are the authors’ own account, not independent evaluation."],"evidenceLinks":[{"title":"Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened · Nature Medicine","url":"https://www.nature.com/articles/s41591-026-04643-9","type":"paper"}],"evidencePackUrl":"https://brightaifuture.com/evidence-pack/retinopathy-scaling","embedUrl":"https://brightaifuture.com/embed/story/retinopathy-scaling","attribution":{"credit":"Bright AI Future","requirements":["Link to the canonical Bright record.","Keep material limitations with the claim they qualify.","Link to the original evidence when repeating a substantive claim.","Do not describe a source check or organization-reported result as independent verification."],"sourceRights":"Linked source material, quotations, trademarks and media remain subject to their owners’ terms. No reuse right is granted for third-party media."}},"claim":{"humanProblem":"Diabetic retinopathy can be caught early with screening, but many people never get a timely eye exam.","priorConstraint":"A screening tool that works in one hospital does not automatically work across different health systems and countries.","aiRole":"A deep-learning tool read retinal images to flag people who needed a specialist referral, deployed across three health systems.","documentedResult":"A Nature Medicine Comment reports the tool was deployed across Aravind Eye Care System (India), Rajavithi Hospital (Thailand) and Lions Outback Vision (Australia), screening over one million patients, and draws cross-cutting lessons for scaling healthcare AI.","whyItMayMatter":"It shows the human work behind scaling a medical AI — across clinics, countries and workflows — rather than a single accuracy figure.","unresolvedQuestions":["How do screening yield and downstream treatment differ across these very different health systems?"]},"evidenceAssessment":{"state":"Deployed","claimConfidence":"medium","reviewState":"source-checked","reviewMethod":"ai-assisted","reviewNote":"AI-assisted source check against the Nature Medicine Comment. Alphabet-funded and authored in part by Alphabet employees; this is the authors’ deployment account, not independent verification.","lastSourceReview":"2026-09-27","independentVerification":"not-established-by-this-source-review"},"sources":[{"id":"source:retinopathy-scaling","title":"Practical lessons in the global scaling of clinical AI: from one hospital to over a million patients screened · Nature Medicine","url":"https://www.nature.com/articles/s41591-026-04643-9","type":"paper"}],"revisions":[{"id":"revision:intake-20260927-retinopathy-scaling","recordedAt":"2026-09-27","summary":"Added to Bright from the 27 Sep 2026 intake as a bounded, source-checked record; company funding disclosed.","sourceIds":["source:retinopathy-scaling"]}],"corrections":[]}