Application and teaching practice of artificial intelligence in the diagnosis and treatment of gastrointestinal tumors
10.3760/cma.j.cn116021-20240310-02093
- VernacularTitle:人工智能在胃肠肿瘤诊疗中的应用及教学实践
- Author:
Xu LI
1
;
Chengjun SUI
;
Lihua LU
;
Yong XIA
;
Xiaofeng ZHANG
;
Yizhou WANG
Author Information
1. 海军军医大学第一附属医院（长海医院）肛肠外科，上海 200438
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Deep learning;
Gastrointestinal tumor;
Teaching application
- From:
Chinese Journal of Medical Education Research
2025;24(8):1009-1015
- CountryChina
- Language:Chinese
-
Abstract:
This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.
