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

Development and Evaluation of Research Methods, Instruments and Tools (744) Early Results in Infodemiology and Infoveillance (104) Early Results from COVID-19 Studies (363) Generative Language Models Including ChatGPT (708) Artificial Intelligence (2129) Chatbots and Conversational Agents (740)

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
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Bertrand-Ferrandis C. Santé de la femme, infodémie et mésinformation. Journal de l'hypnose et de la santé intégrative 2025;n° 31(2):77 View
  2. Özdemir Ö, Kavan M, Güven Y. Evaluation of the readability, quality, and accuracy of AI chatbot responses to questions about deleterious oral habits. BMC Oral Health 2025;25(1) View
  3. Zhou J, Li H, Chen S, Chen Z, Han Z, Gao X. Large language models in biomedicine and healthcare. npj Artificial Intelligence 2025;1(1) View