Research progress on the application of artificial intelligence in biliary tract cancers

VernacularTitle:人工智能在胆道恶性肿瘤领域应用的研究进展
Author: Shengwei TAO ¹ ; Dalong YIN
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1. 中国科学技术大学附属第一医院（安徽省立医院）先导医学与前沿技术研究所肝胆外科　肝胆胰外科安徽省重点实验室　安徽省肝胆疾病临床研究中心，合肥　230001
Keywords: Artificial intelligence; Biliary tract neoplasms; Therapeutic uses; Deep learning; Machine learning
From: International Journal of Surgery 2025;52(8):509-516
CountryChina
Language:Chinese
Abstract: Biliary tract malignant cancers (BTC) are characterized by insidious onset and high malignancy, posing severe challenges to traditional diagnostic and treatment models, such as difficulties in early screening and insufficient treatment precision. In recent years, artificial intelligence (AI) technology has been deeply integrated into the entire chain of BTC diagnosis and treatment, becoming an essential driving force for technological innovation in this field. This article summarizes and reviews the latest application progress of AI technology in the screening, diagnosis, and treatment of BTC in recent years, aiming to promote the development of new diagnostic and treatment models driven by AI and provide a new perspective for improving the survival rate of patients.