Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation
This work addresses the problem of improving surgical safety and care for patients undergoing laparoscopic cholecystectomy, but it is incremental as it focuses on early-stage clinical evaluation.
The study demonstrated the feasibility of using multiple deep neural networks for real-time endoscopic video analysis during three laparoscopic cholecystectomies, achieving high-quality predictions to assist surgeons.
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.