医学写作中的人工智能:它是基于证据的医学的一个例外吗?
Shigeki Matsubara1,2,3
1Department of Obstetrics and Gynecology, Jichi Medical University, Tochigi, Japan.
JMA journal
|February 12, 2026
概括
医学写作中的生成人工智能 (GenAI) 在没有基于证据的医学 (EBM) 安全性确认的情况下迅速传播. 我们建议承认其在EBM之外的使用,进行试验,并在安全性得到证明之前适度采用.
科学领域:
- 医学写作 医学写作
- 人工智能的人工智能
- 基于证据的医学基于证据的医学.
背景情况:
- 生成型人工智能 (GenAI) 越来越多地被用于医学写作.
- 目前关于GenAI优点和缺点的讨论缺乏基于证据的医学 (EBM) 基础.
- 在医疗写作中广泛采用GenAI之前,先进行了强有力的安全验证.
研究的目的:
- 批判性地评估目前在医学写作中使用GenAI的情况.
- 突出GenAI采用和EBM验证的安全标准之间的差距.
- 提出一个框架,以负责任地将GenAI整合到医学写作中.
主要方法:
- 概念分析将GenAI的使用与EBM中的药物和程序开发阶段进行比较.
- 对有关GenAI.医学出版物当前实践的审查.
- 根据EBM原则制定建议.
主要成果:
- 在医学写作中使用GenAI与安全性和有效性的标准EBM协议不一致.
- 基因人工智能目前的阶段类似于药物/程序的临床前或早期试验.
- 尽管没有证实安全性,但在医学出版物中存在显著的GenAI采用.
结论:
- 在医疗写作中使用GenAI目前在已建立的EBM框架之外运行.
- 严格的试验对于书面评估GenAI的安全性和有效性至关重要.
- 在医学写作中建议对GenAI采取谨慎,温和的方法,直到其安全性得到科学验证.
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