Siegfried K Wagner, Bart Liefers, Meera Radia, Gongyu Zhang, Robbert Struyven, Livia Faes, Jonathan Than, Shafi Balal, Charlie Hennings, Caroline Kilduff, Pakinee Pooprasert, Sophie Glinton, Meena Arunakirinathan, Periklis Giannakis, Imoro Zeba Braimah, Islam S H Ahmed, Mariam Al-Feky, Hagar Khalid, Daniel Ferraz, Juliana Vieira, Rodrigo Jorge, Shahid Husain, Janette Ravelo, Anne-Marie Hinds, Robert Henderson, Himanshu I Patel, Susan Ostmo, J Peter Campbell, Nikolas Pontikos, Praveen J Patel, Pearse A Keane, Gill Adams, Konstantinos Balaskas
BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available experts has raised concerns about the sustainability of this approach. We aimed to develop bespoke and code-free deep learning-based classifiers for plus disease, a hallmark of ROP, in an ethnically diverse population in London, UK, and externally validate them in ethnically, geographically, and socioeconomically diverse populations in four countries and three continents...
June 2023: The Lancet. Digital health