HIGHLIGHTS
- who: Tomer Golany from the Department of Surgery, Rappaport Faculty of Medicine, Carmel Medical Center, Technion, Haifa, Israel have published the Article: Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy, in the Journal: (JOURNAL)
- what: Given a single frame taken from a cholecystectomy procedure as input, the goal of the Resnet50 model is to output its estimated likelihood of the frame being in each of the 10 phases.
- how: The videos excluded from the main analysis are analyzed in eFigure 1 in the Supplement. The authors evaluated the model on the test . . .
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