Using computer vision of facial expressions to assess symptom domains and treatment response in antipsychotic‐naïve patients with first‐episode psychosis
Using automated computer vision of facial expressions during PANSS interviews did not only capture negative symptoms but also combinations of the three overall domains of psychopathology. Moreover, automated assessments of facial expressions at baseline were associated with initial antipsychotic treatment response. The findings underscore the clinical relevance of facial expressions and motivate further investigations of computer vision in clinical psychiatry.
Authors
- Warda T Syeda (ORCID: https://orcid.org/0000-0001-6294-622X)
- Karen S. Ambrosen (ORCID: https://orcid.org/0000-0002-5638-2357)
- Cecilie K. Lemvigh (ORCID: https://orcid.org/0000-0002-3647-9709)
- Birte Yding Glenthoj (ORCID: https://orcid.org/0000-0003-3056-7262)
- Mette Ødegaard Nielsen (ORCID: https://orcid.org/0000-0002-0780-7099)
- Bjørn Hylsebeck Ebdrup (ORCID: https://orcid.org/0000-0002-2590-5055)
Institutions
- University of Copenhagen (DK)
- The University of Melbourne (AU)
- Mental Health Services (DK)
- Glostrup Hospital (DK)
- Copenhagen University Hospital (DK)
- Melbourne Health (AU)
Publication Details
- Journal
- Acta Psychiatrica Scandinavica
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1111/acps.13743
- Citations
- 7
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- Lundbeckfonden
- Region Hovedstaden
- H. Lundbeck A/S