作为宫椎间盘关节形成术患者信息来源的GPT-4:与谷歌网络搜索进行比较分析
Paul G Mastrokostas1,2, Leonidas E Mastrokostas1,2, Ahmed K Emara3
1Department of Orthopaedic Surgery, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
Journal of spine surgery (Hong Kong)
|October 15, 2025
概括
生成式预训练型变压器4 (GPT-4) 通过简化复杂的健康信息,可以提高患者对椎椎间板关节整形术 (CDA) 的理解. 这种人工智能工具在为健康素养较低的个人提供更容易访问的在线健康资源方面表现有前途.
科学领域:
- 医疗保健中的人工智能
- 医疗信息可访问性 医疗信息可访问性
- 卫生识字 卫生识字
背景情况:
- 越来越多地使用像ChatGPT这样的AI聊天机器人进行患者教育,需要评估先进的模型,例如生成预训练变压器4 (GPT-4).
- 评估人工智能在提供准确健康信息方面的作用对于在线患者资源至关重要.
- 宫椎间盘关节整形术 (CDA) 是一个复杂的话题,人工智能驱动的患者教育可能是有益的.
研究的目的:
- 为了比较谷歌搜索结果和GPT-4对10个常见问题 (FAQ) 的答案,关于宫椎间盘关节整形术 (CDA).
- 评估问题类型,初始响应可读性,GPT-4提高可读性能力和数值准确性.
- 确定GPT-4在改善CDA患者教育方面的潜力.
主要方法:
- 在谷歌和GPT-4上搜索"椎间盘关节整形",分析了前10个常见问题.
- 使用罗斯威尔系统对问题进行分类,并根据JAMA标准评估源质量.
- 使用Flesch阅读易度和Flesch-Kincaid等级水平测量可读性,比较GPT-4的初始和修订响应.
主要成果:
- GPT-4和谷歌答案的初始可读性没有显著差异 (Flesch-Kincaid等级水平:13.06与12.24).
- 在提示时,GPT-4显著提高了响应可读性,将Flesch-Kincaid等级降至6.58 (P<0.001).
- 60%的数值反应有所不同,GPT-4为CDA提供了更广泛的恢复期估计.
结论:
- 通过简化复杂的医疗信息,GPT-4显示了提高宫椎间板关节整形术 (CDA) 患者教育的潜力.
- 人工智能调整响应复杂性的能力可以解决在线健康资源的差距,以帮助那些健康素养较低的人.
- GPT-4可以作为一个有价值的工具,改善与CDA相关的健康信息的可访问性和可理解性.
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