人工智能模型还不能取代专家在为肩膀和肘部骨科病理提供患者教育方面:系统性审查和元分析
Joshua Dworsky-Fried1, Matthew Mellon1, Preksha Rathod2
1Michael DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
Annals of joint
|February 9, 2026
概括
人工智能 (AI) 在回答骨科问题的准确率为78%,但低于专家. 人工智能工具可以帮助患者教育,但不应取代专业医疗咨询.
科学领域:
- 整形外科手术 整形外科手术
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能和机器学习 (ML) 在骨科中提供了多样化的应用,包括诊断,外科辅助和结果预测.
- 人工智能可以减少临床工作量,改善工作流程,并支持临床决策,当作为辅助使用时.
- 本系统性审查评估了AI在响应有关上肢骨科疾病的询问方面的有效性.
研究的目的:
- 系统地审查和评估人工智能 (AI) 在产生对骨科上肢相关询问的响应方面的有效性.
- 评估在肩膀和肘部骨科中人工智能产生的反应的准确性,可靠性和质量.
主要方法:
- 在PubMed,MEDLINE和EMBASE数据库中进行了系统的文献搜索.
- 包括涉及人工智能模型,肩膀和肘部骨科,人类受试者和英语出版物的研究.
- 提取了关于响应准确度,可靠性,质量和曲线下面积 (AUC) 的数据,并进行了元分析.
主要成果:
- 包括16项研究,利用各种人工智能模型,包括ChatGPT和GoogleBard.
- 人工智能反应的综合准确率为78%,综合平均AUC为86%.
- 与人类专家相比,人工智能算法表现较差,响应质量和可读性差.
结论:
- 人工智能算法在骨科环境中显示出有希望的准确性,但目前低于专家性能.
- 人工智能生成的响应显示出可读性和质量差,限制了它们对患者的直接价值.
- 当前的人工智能技术可以增强专家领导的患者教育,但不应在临床实践中独立使用.
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