Application value and prospect of artificial intelligence in the diagnosis of gallbladder cancer
10.3760/cma.j.cn115610-20250611-00291
- VernacularTitle:人工智能在胆囊癌诊断中的应用价值与展望
- Author:
Ziming YIN
1
;
Lijia PAN
;
Shilei LIU
;
Rongqin WANG
;
Hao LI
;
Zimeng LI
;
Yijun SHU
;
Wei GONG
Author Information
1. 上海理工大学健康科学与工程学院，上海 200093
- Publication Type:Journal Article
- Keywords:
Gallbladder neoplasms;
Artificial intelligence;
Diagnosis;
Multi-modal fusion;
Application;
Prospect
- From:
Chinese Journal of Digestive Surgery
2025;24(7):862-867
- CountryChina
- Language:Chinese
-
Abstract:
Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.
