患者教育材料从复杂区域性疼痛综合征的大语言人工智能模型的演变:患者正在学习吗?
Anuj Gupta1, Adil Basha1, Tarun R Sontam1
1Texas A&M School of Medicine, Dallas, Texas, USA.
概括
像ChatGPT这样的人工智能 (AI) 聊天机器人对患者教育复杂的区域性疼痛综合征充满希望,产生各种主题. 然而,在广泛采用健康信息之前,可读性和道德问题需要进一步关注.
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:
- 复杂区域性疼痛综合征 (CRPS) 信息的可访问性对于患者的理解至关重要.
- 评估在线健康信息的质量至关重要.
- 人工智能聊天机器人正在成为潜在的健康信息来源.
研究的目的:
- 评估ChatGPT和谷歌提供的关于复杂区域疼痛综合征 (CRPS) 的医疗信息的全面性和可读性.
- 将人工智能生成的健康信息与传统搜索引擎结果进行比较.
主要方法:
- 谷歌搜索"复杂区域性疼痛综合征"发现了10个常见问题和答案.
- 聊天GPT回应了这些谷歌生成的常见问题,并生成了自己的10个常见问题.
- 使用标准化评分系统和可读性指标 (Flesch-Kincaid) 评估信息质量.
主要成果:
- 对于独立生成的问题和谷歌生成的问题,ChatGPT提供了比谷歌更长的答案.
- 发现ChatGPT对谷歌生成的问题的回复更难读 (较低的Flesch-Kincaid分数).
结论:
- 由于其能够产生多样化的内容,ChatGPT显示出作为复杂区域性疼痛综合征的患者教育工具的潜力.
- 可读性和伦理考虑是需要解决的关键挑战,以有效地实施AI在健康信息传播中.
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