Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.
Journal:
HPB : the official journal of the International Hepato Pancreato Biliary Association
Published Date:
Mar 4, 2025
Abstract
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this study is to develop the indication model for LRLR using machine learning and to identify factors associated with open conversion (OC).