揭穿神话和患者教育复杂区域性疼痛综合征使用流行的生成人工智能聊天机器人
Prakash G Gondode1, Debesh Bhoi, Sachin Kumar
1From the Department of Anesthesiology, Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India.
A&A practice
|November 4, 2025
概括
对复杂区域疼痛综合征 (CRPS) 的人工智能生成的患者教育材料在可读性和准确性方面显示出希望. 然而,既有来源仍然更全面,表明人工智能可以补充但不能取代当前的资源.
科学领域:
- 医疗信息学 医疗信息学
- 疼痛管理 疼痛管理
- 医疗保健中的人工智能
背景情况:
- 复杂区域性疼痛综合征 (CRPS) 显著影响生活质量,需要有效的患者教育.
- 当前的患者教育材料往往缺乏可访问性和可读性,延续了关于CRPS的神话.
- 本研究将人工智能生成的患者教育材料 (PEM) 与CRPS的传统在线资源进行比较.
研究的目的:
- 评估人工智能生成的PEM的准确性,可读性,完整性,情绪基调和揭穿神话的能力.
- 将AI聊天机器人 (ChatGPT,Gemini,Llama) 与已知来源 (克利夫兰诊所,梅奥诊所) 进行比较.
- 评估AI在改善慢性疼痛患者教育方面的潜力.
主要方法:
- 来自三个人工智能聊天机器人和两个知名医疗机构的PEM比较分析.
- 可读性通过使用Flesch阅读方便度,炮雾指数,Flesch-Kincaid等级水平和SMOG指数进行评估.
- 疼痛专家评估的准确性和完整性;使用灵敏度和特异性指标评估的神话揭露;对情绪的情绪分析.
主要成果:
- 克利夫兰诊所的材料显示了最高的准确性 (4.8/5) 和完整性 (4.8/5),超过了AI聊天机器人.
- 双子AI提供了优越的可读性 (弗莱什得分62),但较低的神话揭穿特异性 (66.67%).
- 聊天GPT在揭穿神话方面实现了100%的特异性;双子座拥有最积极的情绪 (83).
结论:
- 人工智能生成的PEM提供了准确和可读的CRPS患者教育的潜力.
- 主要机构的传统资源提供了更全面的信息.
- 人工智能工具有望补充现有的患者教育,但需要进一步验证临床使用.
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