Pearse Keane, ophtalmologiste de Moorfields Eye Hospital, explique comment l'intelligence artificielle combinée à la rétine anonymisées données aideront à diagnostiquer automatiquement maladies de l'œil. Sur la scène de la technologie Live 2019 New Scientist
3503 x 3495 px | 29,7 x 29,6 cm | 11,7 x 11,7 inches | 300dpi
Date de la prise de vue:
10 octobre 2019
Lieu:
ExCel London, One Western Gateway, Royal Victoria Dock,
Informations supplémentaires:
Cette image peut avoir des imperfections car il s’agit d’une image historique ou de reportage.
With high-spec medical lasers, advanced microsurgery and ultra-high resolution imaging, ophthalmology is among the most technology-driven of the all the medical specialties. It is also at the forefront of many trailblazing research areas in healthcare, such as stem cell therapy, gene therapy, and - most recently - artificial intelligence. In July 2016, Moorfields Eye Hospital announced a formal collaboration with the world’s leading artificial intelligence company, DeepMind. This partnership involves the sharing of more than 1 million anonymised retinal scans to automatically diagnose eye diseases such as age-related macular degeneration and diabetic retinopathy. Join Pearse Keane to find out why ophthalmology urgently needs deep learning and what it takes for the NHS to collaborate with a company like DeepMind. He'll present initial results of the research and explain why he believes that ophthalmology could be first branch of medicine to be fundamentally reinvented through the application of artificial intelligence. Pearse A. Keane , MD, FRCOphth, specialises in applied ophthalmic research, with a particular interest in retinal imaging and new technologies. In 2016, he initiated a formal collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of applying machine learning to automated diagnosis of optical coherence tomography (OCT) images. The first results of this collaboration were published in August 2018, in the journal Nature Medicine.
