聊天GPT-4o与人类研究人员在编写Cochrane评论的简单语言摘要方面进行了比较:一个盲目的,随机的非劣势控制试验
Dagný Halla Ágústsdóttir1, Jacob Rosenberg1,2, Jason Joe Baker1,2
1Center for Perioperative Optimization, Department of Surgery, Herlev and Gentofte Hospital University of Copenhagen Copenhagen Denmark.
Cochrane evidence synthesis and methods
|July 29, 2025
概括
聊天GPT-4o为Cochrane评论生成了简单的语言摘要,这些摘要比人类撰写的版本更具信息性,详细和可读性. 这种人工智能工具有望改善患者对医学研究的理解.
科学领域:
- 医学写作 医学写作
- 医疗保健中的人工智能
- 卫生识字 卫生识字
背景情况:
- 科克兰评论中的简单语言摘要 (PLS) 旨在提供广泛的理解,但往往不足.
- 现有的PLS在可读性和遵守作者指南方面面临挑战.
- 人工智能 (AI) 正在探索各种学术和医疗应用.
研究的目的:
- 评估ChatGPT-4o是否可以为可克兰评论生成与人类撰写的摘要相比较或优越的PLS.
- 评估人工智能生成与人类编写的PLS的信息性,可读性和细节水平.
- 确定人工智能在提高医学研究摘要的质量和可访问性方面的潜力.
主要方法:
- 一个随机的,单盲研究比较了来自Cochrane评论的18个人写和18个ChatGPT-4o生成的PLS.
- 评估人员 (Cochrane编辑组成员和非专业人士) 通过使用利克特尺度评估了摘要的信息性,可读性和细节性.
- 摘要还使用Cochrane指南检查清单和客观可读性工具 (Lix,Flesch-Kincaid) 进行了评估.
主要成果:
- 与人写的摘要相比,聊天GPT-4o摘要在信息,细节和可读性方面得分明显高 (p < .001).
- 客观可读性得分表明,ChatGPT-4o摘要略易于阅读.
- 评估人员很难区分人工智能生成和人类撰写的摘要,而ChatGPT-4o摘要被优先提交 (64%对36%).
结论:
- 聊天GPT-4o展示了制作高质量的普通语言摘要的潜力,用于Cochrane评论.
- 人工智能生成的摘要可能接近或超过人类作者的质量,提高了医疗信息的可访问性.
- 聊天GPT-4o可以作为一个有价值的工具来起草医疗研究的易于理解的摘要.
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