评估聊天生成预先训练的变压器响应常见的儿科内问题
Jason Zarahi Amaral1, Rebecca J Schultz, Benjamin M Martin
1Department of Orthopaedic Surgery, Texas Children's Hospital and Baylor College of Medicine, Houston, TX.
Journal of pediatric orthopedics
|April 30, 2024
概括
聊天GPT提供了对儿科入门的有用概述,90%的回复被评为优秀或令人满意. 虽然一般准确,但它的可读性和一致性可以改进,以更好地教育患者.
科学领域:
- 儿科整形医生 儿科整形医生
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 患者越来越多地使用人工智能获取健康信息,引发了对准确性的担忧.
- 脚是常见的儿科疾病,通常以保守的方式管理.
- 评估AI在患者教育中扮演的角色对于诸如脚的情况至关重要.
研究的目的:
- 评估ChatGPT关于儿科内的反应的准确性和可重复性.
- 评估ChatGPT为一个常见的儿科骨科疾病提供信息的质量.
- 为了解AI在患者教育中的实用性和局限性做出贡献.
主要方法:
- 从医疗保健网站收集了25个常见的儿科内问题.
- 查询了ChatGPT 3.5并评估了答案的准确性和清晰度.
- 两个儿科整形外科医生评估了反应;测试了可重现性.
主要成果:
- 46%的ChatGPT回复是"优秀的",44%是"令人满意的 (最小的澄清).
- 关于入口是正常/解决问题 (62%) 和推提供者评估 (100%) 的答案始终准确.
- 可读性是适当的 (Flesch-Kincaid 4.9),但响应的复杂性是协同的 (12.7);观察到中度的可复制性 (斯皮尔曼rho=0.55).
结论:
- 聊天GPT提供了一个可用的,虽然不完美的,儿童在脚的诊断和管理的代表.
- 人工智能显示出适度的响应一致性.
- 提高ChatGPT的可读性和结合基于证据的指导方针可以提高其对患者教育的有用性.
相关概念视频
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