What question did this study set out to answer?

To explore how AI can enhance the effectiveness of depression treatment by utilizing data.

April 23, 2026Open Access

How AI can boost treatment of depression with data

Key Points

To explore how AI can enhance the effectiveness of depression treatment by utilizing data.
Analyzed clinical and biological data
Evaluated prediction accuracy for treatment outcomes
Identified barriers to AI implementation
AI shows potential to improve treatment prediction accuracy
Current treatments have moderate effectiveness, performing well in about 40% of cases
Additional treatments often exhibit lower success rates for remaining patients.

Abstract

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)

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