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AI Tool Matches Doctors on Glaucoma Detection in Lancet Primary Care Study, Cuts Unnecessary Referrals

Researchers say wider validation plus regulatory review are needed before clinics adopt the system.

Overview

  • Researchers in Portugal tested an AI image‑analysis system on eye photos from 671 adults aged 55–65 in a peer‑reviewed Lancet Primary Care study.
  • The AI detected 78% of glaucoma cases compared with 75% identified by clinicians in the trial cohort.
  • The tool ruled out disease in 95% of non‑cases versus 91% for doctors, indicating fewer false positives.
  • AI triage referred 66 people for specialist review versus 118 by clinicians, yet both pathways resulted in 40 confirmed diagnoses.
  • The results point to fewer unnecessary referrals and potential relief for specialist clinics, pending broader validation and regulatory clearance for routine use.