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

Generative Language Models Including ChatGPT (900) Research Instruments, Questionnaires, and Tools (808) Natural Language Processing (999) mHealth in a Clinical Setting (809) Methods and Instruments in Medical Informatics (229) Machine Learning (2327) Chatbots and Conversational Agents (814) Artificial Intelligence (2480) Computer-Aided Diagnosis (289)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56655, first published .
Person typing on laptop showing ChatGPT response about A1AT levels and SGPT

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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