比较ChatGPT-4生成与人类生成的全膝关节关节整形术患者教育材料的质量和可读性
Kirk Lower1,2, Jia Y Lin3, Deanne Jenkin4
1Medicine and Surgery, Griffith University, Gold Coast, AUS.
像ChatGPT-4这样的人工智能 (AI) 显示出创造全膝关节关节整形 (TKA) 患者教育材料的希望. 然而,目前人工智能生成的内容存在可读性问题,限制了其立即使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 患者教育材料 (PEMs) 对于全膝关节整形术 (TKA) 恢复至关重要.
- 评估人工智能 (AI) 在生成这些材料中的作用至关重要.
研究的目的:
- 评估ChatGPT-4在生成TKA患者教育材料方面的能力.
- 将人工智能生成的PEM与人类专家创建的内容进行质量和可读性比较.
主要方法:
- 评估了来自ChatGPT-4和五个人类生成的网站的TKA PEM.
- 使用了Flesch-Kincaid等级级和Flesch阅读方便,以提高可读性.
- 员工使用DISCERN标准来评估信息质量.
主要成果:
- 聊天GPT-4 PEMs 显示出明显更高的阅读等级水平和较低的阅读易度得分.
- 人工智能产生的PEM的信息质量与人类产生的资源相当.
结论:
- 聊天GPT-4显示了产生TKA PEM的潜力,其质量与人类专家相美.
- 目前,可读性限制阻碍了AI在患者教育中的实用性.
- 未来的人工智能开发必须优先考虑可读性,以改善患者的可访问性.
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