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

Generative Language Models Including ChatGPT (206) Chatbots and Conversational Agents (463) Natural Language Processing (644) Research Instruments, Questionnaires, and Tools (541) mHealth in a Clinical Setting (581) Methods and Instruments in Medical Informatics (104) Artificial Intelligence (1198) Machine Learning (1385) Computer-Aided Diagnosis (97)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56655, first published .
Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Authors of this article:

Zhe He1 Author Orcid Image ;   Balu Bhasuran1 Author Orcid Image ;   Qiao Jin2 Author Orcid Image ;   Shubo Tian2 Author Orcid Image ;   Karim Hanna3 Author Orcid Image ;   Cindy Shavor3 Author Orcid Image ;   Lisbeth Garcia Arguello3 Author Orcid Image ;   Patrick Murray3 Author Orcid Image ;   Zhiyong Lu2 Author Orcid Image
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