Use of an artificial intelligence (AI)-augmented digital system that annotates regions of interest within digitalized polyp tissue and predicts polyp types using a deep learning model helps improve the accuracy of classification by pathologists, according to a study published online Nov. 18 in JAMA Network Open.
Mustafa Nasir-Moin, from the Geisel School of Medicine in Hanover, New Hampshire, and colleagues compared standard microscopic assessment with an AI-augmented digital system. A total of 100 slides with colorectal polyp samples were read by 15 pathologists using a microscope and an AI-augmented digital system.