Predicting sex from retinal fundus photographs using automated deep learning | Scientific Reports
a good news story for AI and science

Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. Herein we present the development of a deep learning model by clinicians without coding, which predicts reported sex from retinal fundus photographs.

this is the kind of news I want to read. But knowing AI I wonder if it just figured out that one group was in a folder labeled “men” and another “women”. But regardless the biomarkers approach is cool!


Quote Citation: Edward Korot, Nikolas Pontikos, Xiaoxuan Liu, Siegfried K. Wagner, Livia Faes, Josef Huemer, Konstantinos Balaskas, Alastair K. Denniston, Anthony Khawaja & Pearse A. Keane, “Predicting sex from retinal fundus photographs using automated deep learning | Scientific Reports”, 13 May 2021, https://www.nature.com/articles/s41598-021-89743-x