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超越 ChatGPT 的对话:通过人工智能驱动的语言解释推进公平。

Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation.

机构信息

Emory University School of Medicine, Atlanta, GA, 30322, USA.

Division of General Medicine, Emory University School of Medicine, Atlanta, GA, USA.

出版信息

J Gen Intern Med. 2024 Feb;39(3):492-495. doi: 10.1007/s11606-023-08497-6. Epub 2023 Oct 30.

Abstract

Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with low English proficiency. This disconnect can often be attributed to the costs and wait-times associated with traditional means of interpretation, making the service inaccessible and burdensome. Technology has improved access to translation through phone and video interpretation; with the acceleration of artificial intelligence (AI) large language models, we have an opportunity to further improve interpreter access through real-time, automated translation. The impetus to utilize this burgeoning tool for improved health equity must be combined with a critical view of the safety, privacy, and clinical decision-making risks involved. Physicians must be active participants and collaborators in both the mobilization of AI tools to improve clinical care and the development of regulations to mitigate harm.

摘要

医学口译是一种未被充分利用的资源,尽管它具有法律授权,并已被证明能有效改善英语水平较低人群的健康结果。这种脱节通常归因于传统口译方式相关的成本和等待时间,使得服务难以获得且负担沉重。技术通过电话和视频口译提高了翻译的可及性;随着人工智能 (AI) 大型语言模型的加速发展,我们有机会通过实时、自动化翻译进一步改善口译员的可及性。为了实现健康公平,必须利用这一新兴工具,同时还必须批判性地评估所涉及的安全、隐私和临床决策风险。医生必须积极参与到人工智能工具的开发和应用中,以改善临床护理,并制定法规以减轻其危害。

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