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临床环境中的人工智能:对其在语言翻译和口译中的作用进行系统审查
Ariana Genovese1, Sahar Borna1, Cesar A Gomez-Cabello1
1Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL, USA.
Annals of translational medicine
|January 16, 2025
概括
人工智能 (AI) 显示出临床翻译的前景,为简短,语言有限的患者-提供者沟通提供准确的结果. 然而,对于复杂的医疗咨询来说,人类监督仍然是必不可少的,以确保优质的护理.
科学领域:
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
- 医疗保健中的人工智能
背景情况:
- 准确的解释对于高质量的患者护理和信任至关重要,但人工智能在患者提供者沟通中的作用不如文档探索.
- 本综述评估了人工智能 (AI) 在临床翻译中的有效性,重点关注准确性,可用性,患者和临床医生的满意度和反.
研究的目的:
- 通过临床翻译来评估人工智能 (AI) 在促进患者-提供者沟通方面的有效性.
- 确定医疗保健环境中当前人工智能翻译工具的优点和局限性.
主要方法:
- 在 2024 年 7 月 11 日,在多个数据库 (CINAHL,IEEE Xplore,PubMed,Scopus,Web of Science,Google Scholar) 进行了系统的文献搜索.
- 在2019年至2024年期间发表的9项研究评估了AI翻译平台在实际或理论咨询中,在独立选和偏见评估后被纳入.
- 数据合成的重点是准确性,可用性,患者和临床医生的满意度,以及关于AI在临床环境中的使用的反.
主要成果:
- 人工智能翻译平台表现出前景,精度分数在从英语翻译时为83-97.8%,而从英语翻译时为36-76%.
- 可用性得分很高 (76.7-96.7%),患者满意度 (84-96.6%) 超过临床医生的满意度 (53.8-86.7%),临床医生对可靠性和潜在误解表示担忧.
- 人工智能主要用于简短的通信,作为最后的手段,或协助提供者和口译员,人类翻译通常仍然是必要的.
结论:
- 人工智能医疗翻译在特定的,有限的应用中是有效的,但对于复杂的医疗互动,需要人类监督.
- 建议采用结合人工智能和人类翻译的混合方法,以确保高质量的患者护理.
- 需要进一步的研究来解决诸如有限的语言支持和人工智能工具不断变化的性质等局限性.
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