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
