Academic Affiliation
Psychological Institute, University of Oslo
Research project
The doctoral project aims on developing and implementing AI-based tools for patient matching in psychotherapy. This study is part of a larger initiative at Modum Bad aimed at enhancing personalized treatments for individuals with mental health disorders. The project employs advanced machine learning algorithms to predict treatment outcomes and optimize therapeutic interventions.
Initially the project involves proving AI-based patient-matching tool on a pilot study and later in a randomized control study in a clinical setting. Lastly, the project directs investigate and evaluate the tools’ effectiveness and publish results.
Collaborations include partnerships with clinicians and researchers at Modum Bad and external experts in AI, psychology, and precision medicine. My work aligns with Modum Bad’s mission to advance research on evidence-based and personalized care, especially for patients with complex mental health challenges.
Research interests
Direct:
- Mechanisms of change in psychotherapy: What underlying processes contribute to successful outcomes in therapy, and how can these be measured effectively?
- AI and precision medicine in mental health: How can AI-driven tools improve patient outcomes by tailoring interventions to individual needs?
- Machine learning algorithms in psychiatry: Which algorithms best predict treatment response, and how can they be implemented ethically and effectively?
- Trauma-focused care: How does early trauma impact therapeutic needs, and what adaptations are necessary for effective treatment?
Indirect:
- Metacognitive therapy (MCT): Investigating how MCT can address unhelpful thought patterns and enhance treatment outcomes for patients with anxiety disorders and other mental health conditions.
- Social media and self-esteem: Examining the influence of social media on self-esteem across different age groups and naming strategies to mitigate negative effects while promoting positive online behaviors.
- Clinical decision-making: Enhancing clinical decision-making processes through evidence-based frameworks, with a focus on integrating AI and precision psychiatry tools into routine practice.
Publications
List of all publications from Modum Bad
National Collaborators
Nikolaj Czajkowski (University of Oslo)
International Collaborators
Jaime Delgadillo (King’s College London)
Project team
Peter Sele (Modum Bad/University of Oslo),
KariAnne Vrabel (Modum Bad/University of Oslo),
Sverre Urnes Johnson (Modum Bad/University of Oslo),
Karine Frost, (Modum Bad/University of Oslo),
Roland Westerlund (Modum Bad/University of Oslo),
Nikolaj Czajkowski (University of Oslo)
