Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy.

ABSTRACT:

Background

The potential role and benefits of AI in surgery has yet to be determined. This study is a first step in developing an AI system for minimizing adverse events and improving patient's safety. We developed an Artificial Intelligence (AI) algorithm and evaluated its performance in recognizing surgical phases of laparoscopic cholecystectomy (LC) videos spanning a range of complexities.

Methods

A set of 371 LC videos with various complexity levels and containing adverse events was collected from five hospitals. Two expert surgeons segmented each video into 10 phases including Calot's triangle dissection and clipping and cutting. For each video, adverse events were also annotated when present (major bleeding; gallbladder perforation; major bile leakage; and incidental f

SUBMITTER: Golany T 

PROVIDER: S-EPMC9652206 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature