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大型语言模型在紧急医疗和重症监护中的应用

Haw Hwai¹, Yi-Ju Ho¹, Chih-Hung Wang¹

¹Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan.

Journal of the Formosan Medical Association = Taiwan yi zhi

|August 28, 2024

概括

人工智能 (AI),特别是像ChatGPT这样的大型语言模型 (LLM),在紧急医疗中显示出对诊断和文档等任务的承诺. 然而,伦理和准确性挑战需要仔细考虑,以便安全地整合到患者护理中.

科学领域:

医疗信息学医疗信息学
医疗保健中的人工智能
临床决策支持临床决策支持

背景情况:

人工智能 (AI) 的整合,特别是大型语言模型 (LLM),在医疗保健领域正在迅速推进.
像ChatGPT这样的LLM提供了新的能力,有可能彻底改变紧急医疗和重症监护.
现有文献强调了人工智能对临床工作流程和患者管理日益增长的影响.

研究的目的:

审查ChatGPT在紧急医疗和重症监护中的进展和多样化应用.
在医疗评估中,与人类专业人员相比,评估ChatGPT的性能.
识别和讨论与在医疗保健环境中实施LLM相关的挑战和伦理考虑.

主要方法:

进行了全面的文献审查,以收集关于ChatGPT在紧急医疗和重症监护中的应用信息.
对比LLM与人类医疗专业人员在诊断和检查任务中的表现的研究分析.
检查与患者护理中人工智能整合相关的已记录的伦理,法律和隐私问题.

主要成果:

在医疗检查中,ChatGPT的性能与人类专业人员相美,可以协助诊断过程.
该法学士课程显示出在临床决策和重症监护机构中帮助药物选择方面的潜力.
确定的风险包括潜在的不准确的医疗建议和重大法律,道德和隐私问题.

结论:

聊天GPT和类似的LLM为提高患者护理管理和临床效率提供了重大机会.
解决与准确性,数据保护,知情同意和监管框架相关的挑战对于负责任的AI采用至关重要.
进一步的研究和强有力的监管对于确保在紧急和重症监护医学中安全,道德和有效地使用LLM至关重要.

关键词:

人工智能 (AI) 是一种人工智能.关键的护理关键的护理紧急医疗紧急医疗

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