中国器官移植AI辅助临床决策专家共识OA
Chinese expert consensus on AI-assisted clinical decision-making in organ transplantation
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.
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.
中国肝移植注册中心;干张蔚;李龙旭;陈浩鑫;王张权;王文超;乔银标;叶少军;丁晨光;董建辉;谭晓宇;国家肝脏移植质控中心;吴昊;徐骁;郑树森;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;李建辉;辛立明;刘月华
上海大学上海大学上海大学上海大学上海大学浙江省人民医院武汉大学中南医院西安交通大学第一附属医院广西医科大学第二附属医院中国人民解放军南部战区总医院浙江大学医学院附属第一医院310006 杭州,树兰(杭州)医院上海大学上海大学
医药卫生
人工智能器官捐献与移植临床决策专家共识
Artificial intelligenceOrgan donation and transplantationClinical decision-makingExpert consensus
《器官移植》 2026 (3)
331-342,12
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)
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