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

Applications of AI (358) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2291) Research Instruments, Questionnaires, and Tools (792) Methods and New Tools in Mental Health Research (597) Diagnostic Tools in Mental Health (343) Generative Language Models Including ChatGPT (841)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79868, first published .
Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model–Based Study

Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model–Based Study

Observer-Independent Assessment of Content Overlap in Mental Health Questionnaires: Large Language Model–Based Study

Authors of this article:

Annkathrin Böke1 Author Orcid Image ;   Hannah Hacker1 Author Orcid Image ;   Millennia Chakraborty1 Author Orcid Image ;   Luise Baumeister-Lingens2 Author Orcid Image ;   Jasper Vöckel2 Author Orcid Image ;   Julian Koenig2 Author Orcid Image ;   David HV Vogel3 Author Orcid Image ;   Theresa Katharina Lichtenstein1 Author Orcid Image ;   Kai Vogeley1, 4 Author Orcid Image ;   Lana Kambeitz-Ilankovic1 Author Orcid Image ;   Joseph Kambeitz1 Author Orcid Image
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Journals

  1. Shao D, Shao L, Kou Z. A data-driven analysis of artificial intelligence applications in depression research: 2020–2025. Asian Journal of Psychiatry 2026;120:104978 View