中国普通外科杂志2026，Vol.35Issue(1)：60-68,9.DOI:10.7659/j.issn.1005-6947.250693
医学数字活检在肝病精准诊疗与学科建设的实践与思考
Medical digital biopsy in precision liver disease care and discipline development:practice and reflections
摘要
Abstract
Medical digital biopsy(MC-Biopsy)is a data integration and application framework developed in the context of the growing convergence of artificial intelligence and large-scale clinical data,aiming to address the fragmentation and limited reusability of heterogeneous clinical information in real-world practice.Centered on standardized data governance,MC-Biopsy systematically integrates laboratory results,imaging,pathology,clinical narratives,and longitudinal follow-up data to construct a disease-specific,multimodal database covering the entire disease course,while embedding artificial intelligence-based methods into existing clinical data structures and workflows to facilitate the transformation of high-value clinical data into reusable evidence.Taking the MC-Biopsy framework preliminarily established and implemented at our institution as an example,this article describes its overall concept,core technical architecture,and real-world deployment,with a particular focus on its application in key scenarios of liver disease management,including risk stratification of high-risk populations,tumor diagnosis and staging,treatment response assessment,and prognosis evaluation.In practice,MC-Biopsy supports individualized and stratified risk management by integrating established models such as the aMAP(age-Male-ALBi-Platelets score)into outpatient and follow-up workflows and by linking longitudinal laboratory and imaging data.In addition,natural language processing-based structuring of clinical narratives contributes to improving data quality and supporting standardized clinical training.Through multimodal integration of imaging,pathology,and clinical data,a traceable digital phenotype repository is progressively established,enabling liver disease research to shift from single-modality,static indicator-based analyses toward multidimensional investigations grounded in longitudinal disease trajectories and real-world outcomes.From the perspective of discipline development,this study further discusses the potential role of MC-Biopsy in problem-oriented translational research and interdisciplinary medical education.Overall,MC-Biopsy represents a reproducible and scalable technical reference with the potential to support precision clinical care,real-world research,and the development of learning healthcare systems.关键词
肝疾病/医学数字活检/人工智能/学科建设/复合型人才Key words
Liver Diseases/Medical Digital Biopsy/Artificial Intelligence/Discipline Development/Interdisciplinary Profes-sionals分类
医药卫生引用本文复制引用
施翰英,周阳,林孔英,曾永毅..医学数字活检在肝病精准诊疗与学科建设的实践与思考[J].中国普通外科杂志,2026,35(1):60-68,9.基金项目
国家自然科学基金资助项目(62275050) （62275050）
国家重点研发计划基金资助项目(2022YFC2407304) （2022YFC2407304）
福建省自然科学基金资助项目(2025J011318) （2025J011318）
福州市科技计划基金资助项目(2024-G-015). （2024-G-015）
