聊天之外的聊天GPT:通过人工智能驱动的语言解释促进公平
Leen Bakdash1, Areeba Abid2, Amritha Gourisankar2
1Emory University School of Medicine, Atlanta, GA, 30322, USA. lbakdas@emory.edu.
Journal of general internal medicine
|October 31, 2023
概括
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.
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.
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