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

Formative Evaluation of Digital Health Interventions (3268) Responsible Health AI (56) Machine Learning (2095) Artificial Intelligence (2161) Chatbots and Conversational Agents (748) Ethics, Privacy, and Legal Issues (622) Generative Language Models Including ChatGPT (723)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76896, first published .
Evaluating Locally Run Large Language Models (Gemma 2, Mistral Nemo, and Llama 3) for Outpatient Otorhinolaryngology Care: Retrospective Study

Evaluating Locally Run Large Language Models (Gemma 2, Mistral Nemo, and Llama 3) for Outpatient Otorhinolaryngology Care: Retrospective Study

Evaluating Locally Run Large Language Models (Gemma 2, Mistral Nemo, and Llama 3) for Outpatient Otorhinolaryngology Care: Retrospective Study

Authors of this article:

Christoph Raphael Buhr1, 2 Author Orcid Image ;   Christopher Seifen1 Author Orcid Image ;   Katharina Bahr-Hamm1 Author Orcid Image ;   Tilman Huppertz1 Author Orcid Image ;   Johannes Pordzik1 Author Orcid Image ;   Harry Smith3 Author Orcid Image ;   Tom Kelsey3 Author Orcid Image ;   Andrew Blaikie2 Author Orcid Image ;   Christoph Matthias1 Author Orcid Image ;   Sebastian Kuhn4 Author Orcid Image ;   Jonas Eckrich1 Author Orcid Image
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