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In July 2016, Moorfields announced a formal collaboration with the artificial intelligence company, DeepMind.

This collaboration involves the sharing of >1,000,000 anonymised retinal scans with DeepMind to allow for the automated diagnosis of diseases such as age-related macular degeneration (AMD) and diabetic retinopathy (DR) on retinal optical coherence tomography (OCT) imaging.

In my presentation, I will describe the development and clinical validation of this system, with a particular focus on the challenges of validating automated segmentation of three-dimensional imaging modalities such as OCT, particularly in the context of challenging, morphologically complex, retinal disease.

Pearse Keane is a consultant ophthalmologist at Moorfields Eye Hospital, London and an associate professor at UCL Institute of Ophthalmology. He is originally from Ireland and received his medical degree from University College Dublin (UCD), graduating in 2002.

In 2016, he initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of developing artificial intelligence (AI) algorithms for the earlier detection and treatment of retinal disease.

In August 2018, the first results of this collaboration were published in the journal, Nature Medicine. In May 2020, he jointly led work, again published in Nature Medicine, to develop an early warning system for age-related macular degeneration (AMD), by far the commonest cause of blindness in many countries.

In October 2019, he was included on the Evening Standard Progress 1000 list of most influential Londoners and in June 2020, he was profiled in The Economist.

In 2020, he was listed on the The Power List by The Ophthalmologist magazine, a ranking of the Top 100 most influential people in the world of ophthalmology.

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City, University of LondonNorthampton SquareLondon EC1V 0HBUnited Kingdom

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Validation and clinical applicability of a deep learning system for retinal disease (Tuesday, 10th August 2021) City, University of London - City,...