A systematic multimodal assessment of AI machine translation tools for enhancing access to critical care education internationally

A systematic multimodal assessment of AI machine translation tools for enhancing access to critical care education internationally

Abstract Background Language barriers pose a significant barrier to expanding access to critical care education worldwide. Machine translation (MT) offers significant promise to increase accessibility to critical care content, and has rapidly evolved using newer artificial intelligence frameworks an...

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Bibliographic Details
Main Authors: Christine L. Chen, Yue Dong, Claudia Castillo-Zambrano, Hassan Bencheqroun, Amelia Barwise, Adria Hoffman, Keivan Nalaie, Yishu Qiu, Oualid Boulekbache, Alexander S. Niven
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Education
Subjects:
Artificial intelligence
Critical care education
Language translation
Machine translation
Online Access:https://doi.org/10.1186/s12909-025-07452-9
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https://doi.org/10.1186/s12909-025-07452-9

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