[Application of artificial intelligence in multidisciplinary team of colorectal cancer liver metastasis: status, challenges and prospects].

Colorectal cancer liver metastasis (CRLM) has high diagnostic and therapeutic complexity, and multidisciplinary team (MDT) has become its core diagnostic and therapeutic path. However, traditional MDT is faced with problems such as uneven distribution of expert resources and inefficient information integration. The rapid development of artificial intelligence (AI) technology provides a new path for the intellectualization of CRLM-MDT. This article systematically reviews the application status of AI in the whole process of CRLM-MDT, including AI-assisted disease assessment, prognostic risk stratification and efficacy prediction, clinical decision-making, intraoperative imaging and quality control, and automatic case follow-up. It also analyzes the current bottlenecks of AI application, such as insufficient multimodal integration, clinical transformation barriers, ambiguous decision-making boundaries and lack of evaluation system, and looks forward to the development direction of human-machine collaborative MDT 2.0. Studies have shown that AI can improve the accuracy and efficiency of CRLM diagnosis and treatment, but it is necessary to break through the reviews of technology and clinical integration to truly realize the transformation from technical feasibility to clinical applicability, and provide more high-quality personalized diagnosis and treatment services for CRLM patients.