{"schemaVersion":"1.0","generatedFrom":"https://brightaifuture.com/discoveries/retina","record":{"id":"retina","headline":"Helping specialists see urgency.","canonicalUrl":"https://brightaifuture.com/discoveries/retina","datePublished":"2026-09-05","dateModified":null,"sourcePublicationDate":"2018-08-13","author":null,"publisher":{"name":"Bright AI Future","url":"https://brightaifuture.com/"},"topics":[],"summary":"Researchers demonstrated deep-learning diagnosis and referral recommendations from retinal scans.","evidenceState":"Demonstrated","keyFacts":[{"label":"AI’s role","value":"A two-stage model mapped scan features to diagnoses and referral suggestions."},{"label":"Documented result","value":"The system demonstrated strong retrospective referral performance."},{"label":"Important limitation","value":"Retrospective performance does not establish routine clinical safety or benefit."}],"limitations":["Retrospective performance does not establish routine clinical safety or benefit."],"evidenceLinks":[{"title":"Clinically applicable deep learning for diagnosis and referral in retinal disease","url":"https://www.nature.com/articles/s41591-018-0107-6","type":"paper"}],"evidencePackUrl":"https://brightaifuture.com/evidence-pack/retina","embedUrl":"https://brightaifuture.com/embed/story/retina","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":"Specialists must identify which eye conditions need urgent attention.","priorConstraint":"Clinicians interpret detailed optical coherence tomography scans.","aiRole":"A two-stage model mapped scan features to diagnoses and referral suggestions.","documentedResult":"The system demonstrated strong retrospective referral performance.","whyItMayMatter":"It suggested a possible tool for supporting specialist triage.","unresolvedQuestions":["Evaluate clinical workflows and outcomes prospectively."]},"evidenceAssessment":{"state":"Demonstrated","claimConfidence":"unassessed","reviewState":"source-checked","reviewMethod":null,"reviewNote":"Legacy source check; no named human reviewer is recorded in this projection.","lastSourceReview":"2026-09-05","independentVerification":"not-established-by-this-source-review"},"sources":[{"id":"source:retina","title":"Clinically applicable deep learning for diagnosis and referral in retinal disease","url":"https://www.nature.com/articles/s41591-018-0107-6","type":"paper"}],"revisions":[],"corrections":[]}