中国医学科学院学报2026，Vol.48Issue(4)：591-606,16.DOI:10.3881/j.issn.1000-503X.17531
医学研究人机融合内容透明披露规范与实施指南(2026年版)
Standards and Guidance for Transparent Disclosure of Human-Artificial Intelligence Collaboration Content in Medical Research(2026)
摘要
Abstract
The rapid iteration of artificial intelligence(AI)tools is propelling medical research into a new phase characterized by human-AI collaboration.In the course of this process,AI has evolved from an exter-nal instrument into a functional component embedded within research workflows.As the collaborative boundary be-tween human researchers and AI becomes increasingly ambiguous,governance challenges have grown increasingly salient.Concurrently,there remains a lack of internationally harmonized standards for the declaration of AI-assis-ted content,giving rise to notable disclosure gaps and implementation disconnects both domestically and abroad.To address these issues,the Professional Committee of Medical Journals of the Society of China University Jour-nals assembled a multidisciplinary expert team covering fields such as medicine,biostatistics,epidemiology,medical ethics,scientific journal editing,and medical AI technology.Employing a modified Delphi method,the team conducted three rounds of online surveys and two consensus meetings.Drawing upon evidence from policy surveys of 1 692 medical journals,position statements from international organizations such as the International Committee of Medical Journal Editors,AI policy texts from the world's major academic publishers(Elsevier,Springer Nature,Wiley,Taylor&Francis,SAGE,etc.),and comparative studies on AI detection tool per-formance,the team ultimately formulated ten recommendations addressing core issues in medical publishing.This guidance emphasizes the core principles of transparent disclosure,human accountability,risk stratification,and technology-assisted oversight,aiming to fully harness the benefits of AI technology while upholding the bottom line of academic integrity.It provides a systematic framework for the standardized disclosure of human-AI collabo-ration content in medical research and offers actionable normative guidance for researchers,journal editors,peer reviewers,and academic institutions.关键词
人工智能/医学研究/人机融合/透明披露/学术诚信/出版伦理/循证方法学Key words
artificial intelligence/medical research/human-artificial intelligence collaboration/transparent disclosure/aca-demic integrity/publishing ethics/evidence-based methodology分类
医药卫生引用本文复制引用
中国高校科技期刊研究会医学期刊专业委员会,李娜,栾嘉,钱锋..医学研究人机融合内容透明披露规范与实施指南(2026年版)[J].中国医学科学院学报,2026,48(4):591-606,16.基金项目
中国高校医学期刊创新融合发展基金-重点项目(CUJS-YX-2026-01-01) （CUJS-YX-2026-01-01）
