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

Journals

  1. Huang A, Ozturk A, Zhang T, de la Mora Velasco E, Haney A. Unpacking AI for hospitality and tourism services: Exploring the role of perceived enjoyment on future use intentions. International Journal of Hospitality Management 2024;119:103693 View
  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 Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology. Journal of Medical Internet Research 2024;26:e57224 View
  4. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  5. Kleine A, Schaffernak I, Lermer E. Exploring predictors of AI chatbot usage intensity among students: Within- and between-person relationships based on the technology acceptance model. Computers in Human Behavior: Artificial Humans 2025;3:100113 View

Books/Policy Documents

  1. Vidanage K, Gunesekera A. Corporate Social Responsibility Approaches to Ethical AI in Business. View