随着人工智能技术的快速发展，AI 工具在医学研究与学术写作中展现出显著作用，从数据处理、文献检索到论文写作、图表可视化和跨学科合作均实现效率提升。AI 不仅是辅助工具，更逐渐成为科研伙伴，在假说生成、实验设计和多模态数据分析中发挥创造性，推动科研范式向“人机共研”转型。当前已出现多种应用场景，如医学论文初稿生成、科研诚信检测、医学影像报告和科研图表的自动撰写。与此同时，AI 的广泛应用也对署名权、数据可追溯性、内容可信度及隐私保护提出挑战。国际指南如 ICMJE《医学期刊学术出版推荐规范》以及 Science、Nature 的公开声明均强调，AI 工具不得列为作者，其使用需透明披露且责任归属人类研究者。为此，亟需建立以透明披露、责任归属、质量可验证和合规开放为核心的规范体系，以确保 AI 在医学科研中实现增效与创新的双重价值，并为数字时代可持续科研生态奠定基础。

With the rapid development of artificial intelligence, AI tools have demonstrated significant value in medical research and academic writing, enhancing efficiency in data processing, literature retrieval, manuscript drafting, visualization, and interdisciplinary collaboration. Beyond serving as auxiliary tools, AI is increasingly becoming a research partner, contributing to hypothesis generation, experimental design, and multimodal data analysis, thereby fostering a paradigm shift toward“ human–AI coresearch”. Typical applications include rapid drafting of medical manuscripts, research integrity checks, and automated generation of imaging reports and scientific figures. However, the widespread adoption of AI also raises challenges concerning authorship, data traceability, content reliability, and privacy protection. International guidelines such as the ICMJE Recommendations and public statements from Science and Nature explicitly emphasize that AI tools cannot be listed as authors, that their use must be transparently disclosed, and that ultimate responsibility lies with human researchers. Therefore, it is urgent to establish a normative framework centered on transparency, accountability, verifiability, and compliant openness, ensuring that AI delivers both efficiency and innovation while laying the foundation for a sustainable research ecosystem in the digital era.