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

Development and Evaluation of Research Methods, Instruments and Tools (630) Early Results in Infodemiology and Infoveillance (89) Early Results from COVID-19 Studies (334) Generative Language Models Including ChatGPT (476) Artificial Intelligence (1697) Chatbots and Conversational Agents (621)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56126, first published .
Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study

Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study

Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study

Authors of this article:

Nicola Luigi Bragazzi1, 2 Author Orcid Image ;   Michèle Buchinger3 Author Orcid Image ;   Hisham Atwan4 Author Orcid Image ;   Ruba Tuma3, 5 Author Orcid Image ;   Francesco Chirico6 Author Orcid Image ;   Lukasz Szarpak7, 8, 9 Author Orcid Image ;   Raymond Farah3 Author Orcid Image ;   Rola Khamisy-Farah3 Author Orcid Image
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