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

Psychological, -behavioural, -social, and/or -cultural Experiments and Interventions (39) Artificial Intelligence (1214) e-Mental Health and Cyberpsychology (1411) Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (47) Attitudes, Beliefs, and Health Behaviours in Human Factors Research (16)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46859, first published .
Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

Authors of this article:

Anne-Kathrin Kleine1 Author Orcid Image ;   Eesha Kokje1 Author Orcid Image ;   Eva Lermer1, 2 Author Orcid Image ;   Susanne Gaube1 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

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  2. Roy M, Jamwal M, Vasudeva S, Singh M. Physicians behavioural intentions towards AI-based diabetes diagnostic interventions in India. Journal of Public Health 2024 View
  3. Dingel J, Kleine A, Cecil J, Sigl A, Lermer E, Gaube S. Predictors of Healthcare Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems (AI-CDSSs): A Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) (Preprint). Journal of Medical Internet Research 2024 View