Position: Professor of Artificial Medical Intelligence, UCL Institute of Ophthalmology
Specialization: Ophthalmology, Artificial Intelligence, Retinal Disease, Medical Imaging
Affiliation: UCL Institute of Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust
Pearse Keane is Professor of Artificial Medical Intelligence at UCL Institute of Ophthalmology, and a consultant ophthalmologist at Moorfields Eye Hospital NHS Foundation Trust. He is also Director of the INSIGHT health data research hub programme based at Moorfields Eye Hospital.
Since 2020, Pearse has been funded by UK Research & Innovation (UKRI) as a Future Leaders Fellow, and in 2023 he became a National Institute for Health Research (NIHR) Senior Investigator. He is originally from Ireland and received his medical degree from University College Dublin (UCD), graduating in 2002.
In 2016, he initiated a 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 2023, he led the development of RETFound, the first foundation model in ophthalmology, published in Nature and made available open source.
Pearse leads a multi-disciplinary research group of clinician scientists at UCL and Moorfields, focused on developing and implementing AI systems in healthcare. His group brings together expertise from ophthalmology, computer science, and data science to advance the field of medical AI.