Digital Health Section Podcast- Royal Society of Medicine AI in Ophthalmology. With Prof Pearse Keane- Consultant Ophthalmologist at Moorfields and Professor of Artificial Medical Intelligence at University College London
Nov 11, 2024
Pearse Keane, a Consultant Ophthalmologist at Moorfields and a Professor of Artificial Medical Intelligence at University College London, dives into the transformative role of AI in eye care. He shares insights on the successful collaboration between Moorfields and Google DeepMind to detect retinal diseases. Discover the emerging field of 'oculomics,' viewing the eye as a vital health indicator. Keane also discusses the UK’s potential to lead in healthcare AI by merging NHS data with academic expertise and the innovative ReptFound model for enhancing eye disease screenings.
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Ophthalmology's AI Advantage
- Ophthalmology is at the forefront of AI in healthcare due to high-quality data and pressing clinical need.
- Open-source retinal datasets gave the field a head start, enabling early AI development.
Moorfields-DeepMind Collaboration Origin
- In 2015, Prof. Keane cold-emailed Mustafa Suleyman at DeepMind, proposing an AI collaboration.
- Suleyman responded within hours, leading to a groundbreaking partnership between Moorfields and DeepMind.
From Code to Clinic
- The Moorfields-DeepMind collaboration yielded an AI system comparable to experts in diagnosing 50+ retinal diseases.
- Translating research into clinical practice is more challenging than publishing papers.