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使用人工智能 (AI) 进行实时自动翻译的大型语言模型,可以改善医疗口译的访问. 然而,仔细考虑安全性,隐私和临床风险对于公平的医疗保健服务至关重要.

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科学领域:

  • 卫生公平性健康公平性
  • 医疗信息学医学信息学
  • 医疗保健中的人工智能

背景情况:

  • 医疗口译是法律规定的,并改善了非英语熟练人口的健康结果.
  • 传统的口译服务面临成本和等待时间等障碍,限制了可访问性.
  • 包括人工智能在内的技术进步为增强口译服务提供了新的途径.

研究的目的:

  • 探索AI大型语言模型的潜力,以改善医疗解释的访问.
  • 为了应对传统解释中成本和等待时间的挑战.
  • 在医疗解释中批判性地检查与人工智能相关的风险.

主要方法:

  • 关于医学解释和人工智能技术的当前文献的综述.
  • 分析AI驱动的翻译在临床环境中的潜在好处和风险.
  • 讨论医生在人工智能工具实施和监管中的作用.

主要成果:

  • 人工智能大型语言模型为实时,自动化医疗翻译提供了机会.
  • 人工智能有可能克服成本和等待时间的传统障碍.
  • 必须解决重大安全,隐私和临床决策风险.

结论:

  • 人工智能提供了一个有前途的工具,通过改进的医学解释来提高健康公平性.
  • 医生必须积极参与AI的开发和部署,用于临床护理.
  • 制定法规对于减轻AI在医学解释中的潜在危害至关重要.