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Xufei Luo¹, Yih Chung Tham^2,3,4,5, Mauro Giuffrè^6,7

¹Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences (2021RU017), School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China.

BMJ evidence-based medicine

|May 13, 2025

概括

一个新的指导方针,GAMER,标准化了医疗研究中的生成人工智能 (GAI) 报告. 这确保了在使用人工智能工具来获得可靠的科学发现时的透明度和诚信.

科学领域:

医学研究医学研究
人工智能伦理学人工智能伦理学
科学出版科学出版

背景情况:

生成型人工智能 (GAI) 对医学研究的效率和质量提供了潜在的好处.
然而,不适当的GAI使用可能会导致抄袭,学术欺诈和不可靠的研究结果.
目前关于报告GAI使用的指导方针不一致,缺乏标准化的原则.

研究的目的:

为医疗研究中使用生成人工智能工具 (GAMER) 制定通用和标准化的报告准则.
确保GAI在科学研究中应用的透明度,诚信和质量.

主要方法:

一项国际在线Delphi研究,涉及医学和人工智能专家.
该研究包括一个范围审查,两个Delphi轮和虚拟会议.
在GAMER报告准则的纳入标准上达成共识.

主要成果:

开发过程涉及来自26个国家的51名专家.
最终的GAMER检查清单包括九个基本报告项目.
这些项目包括声明,工具规范,提示,AI的作用,新模型开发,AI辅助内容,验证,数据隐私和结论影响.

结论:

GAMER建立了一个通用和标准化的框架,用于在医学研究中报告GAI的使用.
该指南促进透明度,诚信和高质量的研究成果.
坚持GAMER对于负责任地将人工智能纳入科学研究至关重要.

关键词:

流行病学流行病学医疗保健的质量医疗保健的质量

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