在医疗问卷的开发中使用ChatGPT. 下背部疼痛的一个例子
Daniele Coraci1, Maria Chiara Maccarone2, Gianluca Regazzo3
1Department of Neuroscience, Section of Rehabilitation, University of Padova, Padua. danielecoraci@aol.com.
European journal of translational myology
|December 19, 2023
概括
这项研究探讨了聊天生成预训练变压器 (ChatGPT) 的腰部疼痛评估. 虽然与验证的工具显示了一些相关性,但需要进一步的研究来确认其临床实用性.
科学领域:
- 人工智能的人工智能
- 医疗信息学 医疗信息学
- 临床评估 临床评估
背景情况:
- 聊天生成预训练变压器 (ChatGPT),一个人工智能工具,在各个领域展示了广泛的潜力.
- 它在医学中的应用正在调查中,早期研究显示有希望.
- 腰部疼痛评估是探索AI作用的关键领域.
研究的目的:
- 为了评估ChatGPT在评估腰部疼痛方面的实用性.
- 为了将ChatGPT生成的问卷与已建立的腰部疼痛评估工具进行比较.
- 在临床评估中确定ChatGPT的优势和局限性.
主要方法:
- 聊天GPT被要求创建一个腰部疼痛问卷.
- 人工智能生成的问卷与奥斯威斯特残疾指数,北克背部疼痛残疾量表,罗兰-莫里斯残疾问卷和疼痛数值评分量表进行了比较.
- 20名腰部疼痛患者参与了这项研究.
主要成果:
- 经过验证的问卷显示了彼此之间显著的一致性.
- 聊天GPT问卷显示了可接受的显著相关性与奥斯威斯特残疾指数和北克背部疼痛残疾量表.
- 在评估生活质量和医疗保健利用率方面,ChatGPT表现出独特的特征.
结论:
- 聊天GPT显示出作为患者评估的补充工具的潜力,提供多视角的见解.
- 人工智能目前在腰部疼痛评估方面的能力有限.
- 进一步的研究和验证对于确定ChatGPT在临床实践中的作用至关重要.
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