Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75648, first published .
Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Jörg Matthes   1 , Prof Dr ;   Anne Reinhardt   2 , DPhil ;   Selma Hodzic   1 , MA, MSc ;   Jaroslava Kaňková   1 , DPhil ;   Alice Binder   1 , DPhil ;   Ljubisa Bojic   3, 4 , PhD ;   Helle Terkildsen Maindal   5 , PhD ;   Corina Paraschiv   6 , Prof Dr ;   Knud Ryom   5 , PhD

1 Department of Communication, University of Vienna, Vienna, Austria

2 Department of Media and Communication, Ludwig-Maximilians-Universität München, Munich, Germany

3 Digital Society Lab, Institute for Philosophy and Social Theory, University of Belgrade, Belgrade, Serbia

4 Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia

5 Department of Public Health, Aarhus University, Aarhus, Denmark

6 Laboratoire Interdisciplinaire de Recherche Appliquée en Économie de la Santé (LIRAES), Université Paris Cité, Paris, France

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