Differing perspectives on artificial intelligence in mental healthcare among patients: a cross-sectional survey study
Future research examining strategies for ethical AI implementation and supporting clinician AI literacy is critical for optimal patient and clinician interactions with AI in mental healthcare.
Authors
- Meghan Reading Turchioe (ORCID: https://orcid.org/0000-0002-6264-6320)
- Natalie C. Benda (ORCID: https://orcid.org/0000-0002-3256-0243)
- Alison Hermann (ORCID: https://orcid.org/0000-0002-7008-7602)
- Jyotishman Pathak (ORCID: https://orcid.org/0000-0002-4856-410X)
- Rochelle Joly (ORCID: https://orcid.org/0000-0002-1551-2434)
- Pooja Desai (ORCID: https://orcid.org/0000-0002-4510-4896)
- Sarah Harkins (ORCID: https://orcid.org/0000-0003-2528-7186)
- Yiye Zhang (ORCID: https://orcid.org/0000-0003-3494-2699)
- Shiveen Kumar
- Jessica Kim (ORCID: https://orcid.org/0009-0002-6389-3451)
Institutions
- Cornell University (US)
- New York State College of Agriculture & Life Sciences (US)
- Weill Cornell Medicine (US)
- Columbia University (US)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2024-11-29
- DOI
- https://doi.org/10.3389/fdgth.2024.1410758
- Citations
- 4
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 1.64