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This paper is in the following e-collection/theme issue:

Pilot studies (ehealth) (355) Quality/Credibility of eHealth Information and Trust Issues (679) Natural Language Processing (965) Language Translation Technologies for Medicine and Public Health (34) Generative Language Models Including ChatGPT (832) AI Language Models in Health Care (259)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85169, first published .
Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study

Authors of this article:

Andy Li1 Author Orcid Image ;   Wei Zhou1 Author Orcid Image ;   Rashina Hoda1 Author Orcid Image ;   Chris Bain1 Author Orcid Image ;   Peter Poon2, 3 Author Orcid Image
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