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13h agoInterview outlines pragmatic path for AI triage in ophthalmology

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.
positive
13h agoInterview outlines pragmatic path for AI triage in ophthalmology

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.
positive
Interview outlines pragmatic path for AI triage in ophthalmology
about 14 hours ago
1 min read
90 words

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.
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.

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.
Companies:
Google
Tags:
healthcare AI
ophthalmology
healthcare AI
ophthalmology
DeepMind
INSIGHT
triage
AI integration
ai
Nov 1, 2025 • 10:48 IST








































