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

Artificial Intelligence (AI) in Medical Education (131) Generative Language Models Including ChatGPT (534) AI Language Models in Health Care (118) Theme Issue: ChatGPT and Generative Language Models in Medical Education (103) Ethics, Privacy, and Legal Issues (558)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51433, first published .
Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study

Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study

Leveraging Open-Source Large Language Models for Data Augmentation in Hospital Staff Surveys: Mixed Methods Study

Authors of this article:

Carl Ehrett1 Author Orcid Image ;   Sudeep Hegde2 Author Orcid Image ;   Kwame Andre3 Author Orcid Image ;   Dixizi Liu2 Author Orcid Image ;   Timothy Wilson2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  2. Zhong W, Liu Y, Liu Y, Yang K, Gao H, Yan H, Hao W, Yan Y, Yin C. Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study. Journal of Medical Internet Research 2025;27:e69929 View