聊天GPT用于阻塞性睡眠呼吸暂停的管理:我们有一个北极星吗?
Felipe Ahumada Mira1,2, Valentin Favier3,2, Heloisa Dos Santos Sobreira Nunes4,2
1ENT Department, Hospital of Linares, Linares, Chile.
概括
像Chat-GPT这样的大型语言模型在帮助阻塞性睡眠呼吸暂停诊断方面表现有前途,在个别问题上与专家达成75%以上的协议,但需要进一步精细化以临床使用.
科学领域:
- 医疗人工智能 医疗人工智能
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 睡眠医学 睡眠医学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 是一种普遍的疾病,经常被诊断不足.
- 医疗保健专业人员需要有效的诊断工具.
- 大型语言模型 (LLM) 提供了医疗决策支持的潜力.
研究的目的:
- 评估聊天生成预训练变压器 (Chat-GPT) 对阻塞性睡眠呼吸暂停 (OSA) 的诊断准确度.
- 评估人工智能产生的反应与专家耳鼻喉科医生对OSA诊断的意见之间的一致性.
- 探索AI在耳鼻喉科医疗决策中的实用性.
主要方法:
- 一项涉及来自25个国家的350名耳鼻喉科医生的横截面调查研究.
- 聊天-GPT提供了相同的专业OSA调查问题的答案.
- 答案由超级专家评估,并统计分析以达成一致.
主要成果:
- 聊天GPT和专家分享了超过75%的个人调查问题的答案.
- 总体而言,只有在四个问题上达成共识.
- 统计分析显示,Chat-GPT与专家意见 (p=0.0009) 之间存在显著差异,观察到中度一致.
结论:
- 聊天GPT显示了作为OSA诊断的补充工具的潜力,特别是在服务不足的地区.
- 人工智能与人类的协作至关重要,人工智能工具是补充而不是取代医疗专业人员的.
- 人工智能在耳鼻喉科的进一步发展可以改善OSA诊断和患者的治疗结果.
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