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

Ethics, Privacy, and Legal Issues (617) Artificial Intelligence (2129) Quality/Credibility of eHealth Information and Trust Issues (654) Theoretical Frameworks and Concepts (338) Clinical Informatics (1325) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Policy and Policy Proposals (150)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56306, first published .
Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

Authors of this article:

Georg Starke1, 2 Author Orcid Image ;   Felix Gille3, 4 Author Orcid Image ;   Alberto Termine1, 2, 5 Author Orcid Image ;   Yves Saint James Aquino6 Author Orcid Image ;   Ricardo Chavarriaga7 Author Orcid Image ;   Andrea Ferrario8 Author Orcid Image ;   Janna Hastings4, 9 Author Orcid Image ;   Karin Jongsma10 Author Orcid Image ;   Philipp Kellmeyer11, 12 Author Orcid Image ;   Bogdan Kulynych13 Author Orcid Image ;   Emily Postan14 Author Orcid Image ;   Elise Racine15, 16 Author Orcid Image ;   Derya Sahin17 Author Orcid Image ;   Paulina Tomaszewska18 Author Orcid Image ;   Karina Vold19, 20 Author Orcid Image ;   Jamie Webb21 Author Orcid Image ;   Alessandro Facchini5 Author Orcid Image ;   Marcello Ienca1, 2 Author Orcid Image
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