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在预测高流氧疗法的疗效方面,ChatGPT的准确性与专家医生相美

Taotao Liu¹, Yaocong Duan², Yanchun Li³

¹Department of Surgical Intensive Care Unit, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.

|June 3, 2024

概括

在高流鼻管治疗 (HFNC) 后,ChatGPT-4.0在预测内内管风险方面具有与专科医生相似的准确性. 这种人工智能工具可以帮助HFNC患者及时进行干预,从而有可能降低死亡率.

科学领域:

关键护理医学关键护理医学
医疗保健中的人工智能
呼吸系统疗法呼吸系统疗法

背景情况:

高流量鼻腔管 (HFNC) 治疗失败可能需要内内管.
及时预测输管风险对于降低HFNC患者的死亡率至关重要.
输管延迟可能导致不良后果.

研究的目的:

评估ChatGPT在预测HFNC治疗后48小时内内内管风险方面的准确性.
将ChatGPT的预测性能与专家和非专家医生进行比较.
评估AI在HFNC患者重症监护决策中的实用性.

主要方法:

未来的多中心队列研究涉及71名接受HFNC治疗的成年患者.
数据包括基线和HFNC启动后的6小时生理参数.
GPT-3.5,GPT-4.0,专科医生和非专科医生完成了预测问卷.

主要成果:

GPT-4.0实现了0.821的曲线下面积 (AUC),与专家医生相比 (AUC没有明确说明,但暗示类似).
GPT-4.0的精度为76.1%,灵敏度为75.4%.
GPT-4.0的预测性能明显高于非专业医生的预测性能 (AUC 0.662).

结论:

在预测HFNC后48小时内内输管风险方面,GPT-4.0的准确性与专家医生相美.
像GPT-4.0这样的AI工具在帮助HFNC患者做出临床决策方面表现有前途.
进一步的研究可以探索将人工智能集成到临床工作流程中,以优化患者管理.

关键词:

人工智能的人工智能是人工智能.聊天GPT 聊天GPT 在线聊天高流量鼻腔运管氧气氧气.在ROX指数上,ROX指数

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