Advances in artificial intelligence for predicting complication risks post-laparoscopic radical gastrectomy for gastric cancer:A significant leap forward  

作　　者：Hong-Niu Wang Jia-Hao An Liang Zong 

机构地区：[1]Department of Graduate School of Medicine,Changzhi Medical College,Changzhi 046000,Shanxi Province,China [2]Department of Gastrointestinal Surgery,Changzhi People’s Hospital,Changzhi 046000,Shanxi Province,China

出　　处：《World Journal of Gastroenterology》2024年第43期4669-4671,共3页世界胃肠病学杂志（英文）

摘　　要：In a recent paper,Hong et al developed an artificial intelligence(AI)-driven predictive scoring system for potential complications following laparoscopic radical gastrectomy for gastric cancer patients.They demonstrated that integrating AI with random forest models significantly improved the preoperative prediction and patient outcome management accuracy.By incorporating data from multiple centers,their model ensures standardization,reliability,and broad applicability,distinguishing it from the prior models.The present study highlights AI's potential in clinical decision support,aiding in the preoperative and postoperative management of gastric cancer patients.Our findings may pave the way for future prospective studies to further enhance AI-supported diagnoses in clinical practice.

关 键 词：Artificial intelligence Gastric cancer GASTRECTOMY Random forest model COMPLICATION 

分 类 号：R73[医药卫生—肿瘤]