数智化助力肝癌诊治进展及未来研究方向OA

Hepatocellular carcinoma(HCC)exhibits an insidious onset,high surgical risks,poor clinical prognosis,and significant heterogeneity,posing substantial challenges to conventional diagnostic and therapeutic approaches.With the rapid advancement of digital and intelligent technologies,data-driven and artificial intelligence(AI)-based intelligent diagnostic and therapeutic methods are progressively transforming the entire"diagnosis-treatment-management"continuum of HCC.In diagnostics,machine learning(ML)and deep learning(DL)applied to radiomics,pathomics,and the discovery of novel biomarkers have significantly enhanced early screening for HCC.In treatment,predictive models based on multimodal data support personalized therapeutic decision-making,while AI-integrated three-dimensional visualization,virtual surgical planning,and intraoperative intelligent navigation systems optimize surgical strategies and improve operational safety.In terms of prognosis management,AI technologies enable dynamic postoperative efficacy monitoring,recurrence risk stratification,and facilitate the development of personalized follow-up strategies.