评估ChatGPT对患者关于外周内皮质类固醇注射问题的反应:一般与特定查询的比较研究
Timothy Olivier1, Zilin Ma2, Ankit Patel3
1Center for Integrative Pain Management, West Virginia University, USA.
Interventional pain medicine
|June 13, 2025
概括
聊天GPT提供了清晰的,准确的答案,对于外围注射类固醇 (ESI) 问题,一般提示产生更完整的信息. 然而,人工智能反应缺乏同情心,可能是触觉性的,需要谨慎的快速工程来安全的临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 疼痛管理 疼痛管理
背景情况:
- 人工智能越来越多地用于患者的医疗查询,包括大型语言模型 (LLM).
- 需要评估人工智能在程序医学中的表现,特别是外周类固醇注射 (ESI).
- 缺乏关于人工智能在解决患者对ESI的担忧方面的研究.
研究的目的:
- 评估ChatGPT的准确性,可读性和有用性,以回答患者对外周类固醇注射 (ESI) 的问题.
- 对比人工智能生成的信息,以处理程序周边的ESI问题和并发症.
- 探索AI作为疼痛管理和干预性脊柱手术中的分拣工具的潜力.
主要方法:
- 编制了29个关于ESI的常见患者问题.
- 使用一般和特定提示格式测试了ChatGPT响应.
- 干预性疼痛专家评估了AI答案的准确性,清晰度,同理心和直接性.
- 计算的可读性得分 (弗莱什-金凯德,弗莱什阅读方便).
主要成果:
- 一般查询产生了更长,更详细的答案,与特定格式的可读性相似.
- 主观分析有利于对准确性,清晰性和响应能力的一般反应.
- 人工智能响应显示出有限的同情心和偶尔的非主题内容,特别是一般提示.
结论:
- 聊天GPT为ESI患者查询提供了清晰,基本准确的信息,一般提示更全面.
- 局限性包括缺乏同情心和潜在的接触信息,需要精确的快速设计.
- 需要进一步的研究,以安全有效地将AI整合到临床工作流程中.
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