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中华移植杂志(电子版)

中华移植杂志(电子版) ›› 2026, Vol. 20 ›› Issue (01) : 27 -37. doi: 10.3877/cma.j.issn.1674-3903.2026.01.003

专家共识

中国器官移植AI辅助临床决策专家共识
中国肝移植注册中心, 国家肝脏移植质控中心, 国家人体捐献器官获取质控中心, 中国医师协会器官移植医师分会移植器官质量控制专业委员会, 国家创伤医学中心器官保护专业委员会, 中国器官移植发展基金会   
  1. 1. 树兰（杭州）医院，310006　杭州
    2. 上海大学计算机工程与科学学院，200444　上海
    3. 江苏省人民医院，210029　南京
    4. 浙江大学医学院附属第一医院，310003　杭州
  • 收稿日期:2026-01-05 出版日期:2026-02-25
  • 基金资助:
    人工器官与计算医学全省重点实验室自主课题(SZD2025B009); 国家自然科学基金项目(62333014，62073211); 重庆市科文联合医学科研攻关项目(2024GGXM005); 中央高校基本科研业务费专项资金(2025ZFJH03); 中国医学科学院中央级公益性科研院所基本科研业务费(2023-PT320-02); 上海市白玉兰人才计划浦江项目(24PJA029)

Chinese expert consensus on AI-assisted clinical decision-making in organ transplantation

China Liver Transplant Registry, National Center for Healthcare Quality Management in Liver Transplant, National Quality Control Center for Donated Organ Procurement, Committee on Transplant Organ Quality Control, Branch of Organ Transplant Doctor, Chinese Medical Doctor Association, National Trauma Medical Center Organ Protection Committee, China Organ Transplantation Development Foundation   

  1. 1. Shulan (Hangzhou) Hospital, Hangzhou 310006, China
    2. School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China
    3. Jiangsu Provincial People′s Hospital, Nanjing 210029, China
    4. the First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
  • Received:2026-01-05 Published:2026-02-25
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中国肝移植注册中心, 国家肝脏移植质控中心, 国家人体捐献器官获取质控中心, 中国医师协会器官移植医师分会移植器官质量控制专业委员会, 国家创伤医学中心器官保护专业委员会, 中国器官移植发展基金会. 中国器官移植AI辅助临床决策专家共识[J/OL]. 中华移植杂志(电子版), 2026, 20(01): 27-37.

China Liver Transplant Registry, National Center for Healthcare Quality Management in Liver Transplant, National Quality Control Center for Donated Organ Procurement, Committee on Transplant Organ Quality Control, Branch of Organ Transplant Doctor, Chinese Medical Doctor Association, National Trauma Medical Center Organ Protection Committee, China Organ Transplantation Development Foundation. Chinese expert consensus on AI-assisted clinical decision-making in organ transplantation[J/OL]. Chinese Journal of Transplantation(Electronic Edition), 2026, 20(01): 27-37.

我国器官捐献与移植事业发展迅速，已跃居成为世界第二捐献与移植大国，但是器官移植数量和质量仍有待进一步提高，以满足广大等待移植受者需求。人工智能(AI)支持多源临床大数据的整合、分析与应用，能够辅助拓展可用供器官、提升移植物质量，为缓解移植器官供需失衡提供新的技术基础。为规范AI在我国器官捐献与移植全流程的辅助应用，现组织多学科专家制定《中国器官移植AI辅助临床决策专家共识》，通过构建统一的数据与模型要求，形成覆盖供者评估维护及器官匹配、器官保存与转运、器官移植手术和术后受者管理等全流程器官捐献与移植临床场景的技术框架，并规范伦理法规约束与责任主体边界，以进一步提升AI辅助器官捐献与移植工作的规范化、安全化水平，促进我国器官捐献与移植事业的高质量发展。

关键词: 人工智能, 器官捐献与移植, 临床决策, 专家共识

Organ donation and transplantation in China have developed rapidly, ranking second in the world in terms of both donation and transplantation volume. However, both the quantity and quality of organ transplants remain to be further improved to satisfy the demands of the vast number of recipients awaiting transplantation. Artificial intelligence (AI) facilitates the integration, analysis, and application of multi-source clinical big data. It is capable of assisting in expanding the pool of available donor organs and enhancing graft quality, thereby providing a novel technological foundation for alleviating the imbalance between the supply and demand of transplant organs. To standardize the auxiliary application of AI throughout the entire process of organ donation and transplantation in China, a team of multidisciplinary experts were convened to formulate the Chinese Expert Consensus on AI-Assisted Clinical Decision-Making in Organ Transplantation. By establishing unified requirements for data and models, this consensus forms a technical framework covering clinical scenarios across the entire workflow of organ donation and transplantation, including donor assessment and maintenance, organ matching, organ preservation and transport, transplant surgery, and post-transplant recipient management. Furthermore, it clarifies ethical and regulatory constraints as well as the boundaries of responsibility subjects. The aim is to further enhance the standardization and safety of AI-assisted organ donation and transplantation, ultimately promoting the high-quality development of this field in China.

Key words: Artificial intelligence, Organ donation and transplantation, Clinical decision-making, Expert consensus
图1 AI辅助全流程器官捐献与移植服务技术体系注：AI.人工智能
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[15] 孙庆利, 叶珊, 樊东升, 傅瑜. 人工智能在医工结合专业人才培养中的作用及其在医学教育中的应用[J/OL]. 中华脑血管病杂志(电子版), 2026, 20(02): 204-208.
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