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基于证据的大型语言模型 (LLM) 诊断决策支持系统的影响:随机对照试验

Sangah Ahn¹, Joongheum Park^2,3, Sujeong Hur^1,3

¹SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.

Studies in health technology and informatics

|August 8, 2025

概括

生成型人工智能 (AI) 可以帮助医疗保健决策,但缺乏证据. 这项研究检查了AI.

科学领域:

临床信息学临床信息学
医疗保健中的人工智能
紧急医疗紧急医疗

背景情况:

生成型人工智能 (AI) 通过分析患者数据提供个性化治疗见解.
目前的生成人工智能局限性包括缺乏准确的临床建议证据.
人工智能融入临床工作流程需要仔细评估.

研究的目的:

调查人工智能生成的诊断建议对紧急医疗保健提供者的诊断模式的影响.
评估人工智能如何影响紧急情况下的临床决策.
评估临床医生采用人工智能工具和诊断准确性之间的关系.

主要方法:

观察性研究设计.观察性研究设计.
对人工智能实施前后的诊断模式的分析.
临床医生AI采用率和诊断准确度指标之间的相关性分析.

主要成果:

人工智能产生的建议改变了紧急医疗服务提供者的诊断模式.
临床医生采用人工智能诊断工具显示与决策变化存在相关性.
需要进一步分析,以量化对整体诊断准确性的确切影响.

结论:

生成型人工智能影响紧急护理中的临床决策.
临床医生采用人工智能工具需要进一步研究诊断准确性.
未来的研究应该专注于验证人工智能证据,并优化其融入临床实践.

关键词:

临床决策支持系统 (CDSS)紧急医疗紧急医疗大型语言模型 (LLM)

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