Research progress on the application of artificial intelligence in minimally invasive surgery
10.3760/cma.j.cn115610-20250120-00029
- VernacularTitle:人工智能在微创外科手术中的应用研究进展
- Author:
Longfei GOU
1
;
Chang CHEN
;
Bo′er SU
;
Wenhao WU
;
Haijun DENG
;
Jiang YU
;
Guoxin LI
;
Yanfeng HU
;
Hao CHEN
Author Information
1. 南方医科大学南方医院普通外科 广东省胃肠肿瘤精准微创诊疗重点实验室 广东省微创外科工程技术研究中心，广州 510515
- Publication Type:Journal Article
- Keywords:
Minimally invasive surgery;
Artificial intelligence;
Deep learning;
Surgical navigation;
Skill assessment
- From:
Chinese Journal of Digestive Surgery
2025;24(5):599-608
- CountryChina
- Language:Chinese
-
Abstract:
With the rapid development of minimally invasive techniques in surgery, arti-ficial intelligence (AI), particularly deep learning, is playing an increasingly important role in mini-mally invasive surgery. By automated analysis of surgical videos, AI can efficiently perform key tasks such as instrument recognition, surgical phase identification, action analysis, anatomical structure recognition, intraoperative diagnosis, adverse event monitoring and smart desmoking. These appli-cations provide essential support for real-time monitoring, surgical navigation and skill assessment during surgery. The authors summarize the current research progress of AI in minimally invasive surgery, including its applications in the fields of hepatobiliary and pancreatic surgery, as well as gastrointestinal surgery. It also explores the potential of AI in enhancing surgical safety, efficiency and skill assessment. By synthesizing the latest research achievements of AI technology in the field of surgery, as well as analyzing its technical challenges and risks, it aims to provide guidance for future innovations and clinical applications, promoting the advancement and implementation of AI in minimally invasive surgery.
