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人工智能翻译:在重症监护中验证基于语音的多语言解释工具

Ibrahim S Karakus¹, Shashank Gupta², Rana Gur¹

¹Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, United States.

Applied clinical informatics

|December 16, 2025

概括

像AI-TransLATE这样的人工智能 (AI) 翻译工具对改善非英语发言者在重症监护病房 (ICU) 的沟通充满希望. 虽然在西班牙语和土耳其语中有效,但在现实世界的重症监护环境中,需要对中文和阿拉伯语进行进一步的评估.

科学领域:

医疗信息学医疗信息学
临床交流临床沟通
医疗保健中的人工智能

背景情况:

在重症监护室 (ICU) 中,有效的沟通至关重要,特别是对于英语水平有限的患者.
进入ICU的专业口译员往往会延迟,这会给护理带来很大的障碍.
现有的人工智能翻译工具在急症监护机构 (如ICU) 的评估有限.

研究的目的:

开发和评估AI-TransLATE的解释质量,这是一个新的基于语音的AI翻译工具,用于重症监护机构.
在模拟的ICU场景中,评估AI-TransLATE在西班牙语,中文,阿拉伯语和土耳其语的表现.
确定该工具在加强ICU中的多语言沟通方面的潜力.

主要方法:

人工智能翻译 (AI-enhanced Transition to Language-Agnostic Transcultural Engagement) 是作为一种基于语音的翻译工具而开发的.
双语研究小组成员用四种目标语言记录了模拟的ICU通信脚本.
两个独立的双语评价员使用5分利克特级别 (流利性,充分性,意义保存,错误严重性,清晰性,文化适当性) 评估了翻译质量.

主要成果:

在所有评估语言中,AI-TransLATE 取得了可接受的复合分数 (≥16/20).
西班牙语和土耳其语翻译表现一致的高性能.
中国语和阿拉伯语的解释表现出差异性,有明显的遗漏和术语错误.

结论:

人工智能翻译 (AI-TransLATE) 显示出其作为改善多语言重症监护环境中的临床沟通的有价值工具的潜力.
该工具的性能表明需要进一步改进,特别是对中阿拉伯语言的支持.
在现实世界中,无脚本的临床评估是必要的,以充分确定AI-TransLATE在ICU中的有效性和安全性.

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