How AI can boost treatment of depression with data
How AI can boost treatment of depression with data Prof. Dr. Guido van Wingen discusses the potential of, and barriers to, the use of AI in transforming the treatment of depression by analyzing clinical and biological data to improve prediction accuracy for treatment outcomes. Depression is one of the leading causes of disability. One reason is that treatment is only moderately effective and often involves trial and error. Initial psychotherapy or pharmacotherapy works for approximately 40% of patients, while others need additional treatments but experience lower success rates. (1)
Authors
- Guido van Wingen
Institutions
- Amsterdam University Medical Centers (NL)
Publication Details
- Journal
- Open Access Government
- Published
- 2026-04-16
- DOI
- https://doi.org/10.56367/oag-050-12547
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00