Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation
Pietro Mascagni
Deepak Alapatt
A. Lapergola
Armine Vardazaryan
J. Mazellier
B. Dallemagne
Didier Mutter
N. Padoy

Abstract
Artificial intelligence is set to be deployed in operating rooms to improve surgical care. This early-stage clinical evaluation shows the feasibility of concurrently attaining real-time, high-quality predictions from several deep neural networks for endoscopic video analysis deployed for assistance during three laparoscopic cholecystectomies.
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