在部发育性形症中评估ChatGPT-5.0:根据AAOS和AAP指南进行基于场景的验证研究
Süleyman Kozlu1, Barış Görgün2, Süleyman Kaan Öner1
1Department of Orthopaedics and Traumatology, Faculty of Medicine, Kütahya Health Sciences University, Kütahya, Türkiye.
Journal of children's orthopaedics
|February 3, 2026
概括
聊天GPT-5.0准确地指导部发育性形 (DDH) 管理明显病例,帮助缺乏儿科骨科专业知识的临床医生. 然而,对于复杂或不一致的呈现来说,人类监督至关重要,以确保患者的安全.
科学领域:
- 人工智能在医学中的应用
- 儿科整形外科 儿科整形外科
- 临床决策支持系统 临床决策支持系统
背景情况:
- 部发育性形 (DDH) 需要迅速,遵循指南的治疗,以减轻长期并发症.
- 某些地区的儿科骨科专业知识有限,这凸显了需要可访问的临床支持工具的需要.
- 像ChatGPT-5.0这样的AI模型在各种临床场景中管理DDH的可靠性仍然在很大程度上未经验证.
研究的目的:
- 使用结构化临床病例评估ChatGPT-5.0对DDH的管理建议的准确性.
- 将ChatGPT-5.0的输出与已建立的临床指南进行比较 (AAOS 2022,AAP 2016).
- 在典型和不一致的DDH呈现中评估AI的性能.
主要方法:
- 一个基于场景的验证研究,涉及30个独特的DDH病例 (20个一致,10个不一致).
- 评估符合指南的准确性 (正确,部分正确,处理不足,过度处理,不正确).
- 评估错误感知提示和多语言一致性 (英语与斯瓦希里语).
主要成果:
- 在一致的情况下,引导的ChatGPT实现了100%的准确性;未登录的ChatGPT实现了95%.
- 在不一致的病例中,引导的ChatGPT显示出过度治疗的倾向,并错过了重复超声波或咨询的建议.
- 非登录的ChatGPT在不一致的场景中表现更好,但也强调了后续行动;人工智能建议在不同语言中一致.
结论:
- 对于与临床和成像数据一致的病例,ChatGPT-5.0在提供符合指南的DDH管理建议方面表现出可靠性.
- 人工智能可以在资源有限的环境中作为一种有价值的决策辅助工具,但需要人类监督.
- 实施安全检查和临床判断对于防止管理不善至关重要,特别是在模两可或不一致的DDH情况下.
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