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

Scoping Review Protocols (201) Methods and New Tools in Mental Health Research (491) Clinical Information and Decision Making (1548) Artificial Intelligence (1602) Generative Language Models Including ChatGPT (413) Ethics, Privacy, and Legal Issues (531)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62865, first published .
Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review

Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review

Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review

Authors of this article:

Dipak Gautam1 Author Orcid Image ;   Philipp Kellmeyer2, 3, 4 Author Orcid Image
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Dipak Gautam   1 , BS ;   Philipp Kellmeyer   2, 3, 4 , Dr med, MD, MPhil

1 School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany

2 Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany

3 Human-Technology Interaction Lab, Department of Neurosurgery, University of Freiburg - Medical Center, Freiburg im Breisgau, Germany

4 Institute for Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland

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