AI depictions of psychiatric diagnoses: a preliminary study of generative image outputs in Midjourney V.6 and DALL-E 3
As these technologies become increasingly accessible, it is crucial for mental health professionals to understand AI's capabilities, limitations and potential impacts. Future research should focus on quantifying these biases, assessing their effects on public perception and developing strategies to mitigate potential harm while leveraging the insights these models provide into collective understandings of mental illness.
Authors
- John Blake Torous (ORCID: https://orcid.org/0000-0002-5362-7937)
- Carl Erik Fisher
- G. Richard Smith (ORCID: https://orcid.org/0000-0002-7594-4386)
- Ellen Wagner (ORCID: https://orcid.org/0000-0001-7388-8504)
- Matthew Flathers (ORCID: https://orcid.org/0009-0004-3351-0688)
Institutions
- Beth Israel Deaconess Medical Center (US)
- Harvard University (US)
- Rhode Island School of Design (US)
- Providence College (US)
- Columbia University (US)
Publication Details
- Journal
- BMJ Mental Health
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1136/bmjment-2024-301298
- Citations
- 11
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 4.51