Can machine translation match human expertise? Quantifying the performance of large language models in the translation of patient-reported outcome measures (PROMs)

Can machine translation match human expertise? Quantifying the performance of large language models in the translation of patient-reported outcome measures (PROMs)

Abstract Background The rise in artificial intelligence tools, especially those competent at language interpretation and translation, enables opportunities to enhance patient-centered care. One might be the ability to rapidly and inexpensively create accurate translations of English language patient...

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Bibliographic Details
Main Authors: Sheng-Chieh Lu, Cai Xu, Manraj Kaur, Maria Orlando Edelen, Andrea Pusic, Chris Gibbons
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Patient-Reported Outcomes
Subjects:
Patient-reported outcome measure
Large language models
Face-Q
Breast-Q
Machine translation
Online Access:https://doi.org/10.1186/s41687-025-00926-w
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https://doi.org/10.1186/s41687-025-00926-w

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