Interview outlines pragmatic path for AI triage in ophthalmology

Planet Classroom features Prof. Pearse Keane on AI triage for eye disease, discussing DeepMind, validation, bias, access, and governance to scale tools without replacing clinicians.

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Interview outlines pragmatic path for AI triage in ophthalmology

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Interview outlines pragmatic path for AI triage in ophthalmology
Planet Classroom features Prof.
Planet Classroom released an interview with Moorfields ophthalmologist Prof. Pearse Keane discussing responsible AI for eye-disease triage, referencing work with Google DeepMind and the INSIGHT dataset. The program highlights how models can flag urgent cases from retinal scans to accelerate appointments, while clinicians retain final judgment. The discussion addresses validation, bias, and equitable access across health systems. For policymakers and providers, the episode underscores scaling pathways—data partnerships, procurement rules, and governance—that move from pilot studies toward deployment without overstating autonomy or displacing clinicians in overstretched ophthalmology. Released today on YouTube.
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