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

Generative Language Models Including ChatGPT (1648) Clinical Information and Decision Making (3909) Decision Support for Health Professionals (2360) Hearing Impairment and Hearing Loss (103) AI Language Models in Health Care (839)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94755, first published .
Doctor explains patient's health data chart on computer screen

Evaluating Large Language Models in Clinical Audiology (AUDIOLOGYBENCH): Benchmark Development and Validation Study

Evaluating Large Language Models in Clinical Audiology (AUDIOLOGYBENCH): Benchmark Development and Validation Study

Authors of this article:

Linkai Li1, 2 Author Orcid Image ;   Changgeng Mo2 Author Orcid Image ;   Haoshuai Zhou2 Author Orcid Image ;   Hanlin Yu3 Author Orcid Image ;   Congxi Lu2 Author Orcid Image ;   Shangqiguo Wang4 Author Orcid Image ;   Varsha M Athreya5 Author Orcid Image ;   Matthew B Fitzgerald5 Author Orcid Image ;   Shan X Wang1 Author Orcid Image
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Journals

  1. Wu X, Shen X, Mo C, Shao S, Wang J, Wang S. Audiologist-Guided Multimodal AI for Pure-Tone Audiometry and Tympanometry Interpretation and Reporting. Journal of Medical Systems 2026;50(1) View