Advances in artificial intelligence-based medical imaging and digital pathology for diagnosis, treatment and prognostic assessment of gastric cancer
10.3760/cma.j.cn115610-20241204-00535
- VernacularTitle:人工智能医学影像与数字病理学在胃癌诊疗及预后评估中的应用进展
- Author:
Li YU
1
;
Minmin TAO
1
;
Lingli XIE
1
;
Kai CHEN
1
Author Information
1. 中国人民武装警察部队海警总队医院放射科，嘉兴 314033
- Publication Type:Journal Article
- Keywords:
Stomach neoplasms;
Artificial intelligence;
Radiomics;
Machine learning;
Prognostic prediction;
Diagnosis;
Review
- From:
Chinese Journal of Digestive Surgery
2025;24(1):137-142
- CountryChina
- Language:Chinese
-
Abstract:
Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.
