Gastric cancer surgery in the era of intelligence and individualization
10.3760/cma.j.cn115610-20250313-00098
- VernacularTitle:智能化与个体化时代的胃癌外科
- Author:
Jiafu JI
1
;
Yichen ZHUANG
;
Xinran LIU
;
Di DONG
;
Xiangyu GAO
Author Information
1. 北京大学肿瘤医院暨北京市肿瘤防治研究所胃肠肿瘤中心 消化系肿瘤整合防治全国重点实验室，北京 100142
- Publication Type:Journal Article
- Keywords:
Stomach neoplasms;
Surgical treatment;
Artificial intelligence;
Treatment decision-making;
Current situation and challenge
- From:
Chinese Journal of Digestive Surgery
2025;24(4):459-467
- CountryChina
- Language:Chinese
-
Abstract:
In the era of intelligence and individualization, gastric cancer surgery is under-going multidimensional advancements. The authors focus on the cutting-edge progress and future challenges of artificial intelligence (AI) in the diagnosis and decision-making, treatment and drug development, as well as postoperative rehabilitation in gastric cancer surgery. In terms of diagnosis, AI integrates imaging, liquid biopsy, pathology, and multimodal technologies to enhance diagnostic comprehensiveness and accuracy. Regarding decision-making, AI assists in formulating personalized treatment plans, conducting risk assessments, and predicting prognoses. In the treatment domain, AI facilitates the advancement of individualized surgical approaches, supports postoperative follow-up, and aids in physician education and training. In drug development, the introduction of virtual cell models and AlphaFold has improved the efficiency and accuracy of mechanistic and clinical research. For postoperative rehabilitation guidance, AI provides personalized recommendations to optimize treatment outcomes.AI holds great promise in gastric cancer surgery across diagnosis and decision-making, treatment and drug development, and postoperative rehabilitation. However, current AI technologies face challenges such as data sharing and privacy protection, multicenter research and model generalization, human-machine collaboration, interpretability, ethical considerations, sustaina-bility, and widespread adoption. Addressing these challenges will require collective efforts to fully leverage AI′s advantages in gastric cancer diagnosis and treatment.
