In the past decade, there has been an increase in research related to the routine collection
and active use of standardized patient data in psychotherapy. Research has increasingly …

Establishing causality is crucial to understanding the mechanisms that underlie effective
treatments for mental health disorders. Virtual reality environments enable manipulation and …

Abstract Feedback-Informed Group Treatment (FIGT) shows promise for improving
outcomes, but results are mixed. The aim was investigating the feasibility, acceptability and …

Our objective is to implement a single-case experimental design (SCED) infrastructure in
combination with experience-sampling methods (ESM) into the standard diagnostic …

Therapists' outcome expectations influence the psychotherapy process and outcomes, but
little is known about the factors influencing their development. This study explored therapists' …

Why do individuals tend to discount bad news when making judgements about the
likelihood of future events? In this short review, we explore recent research findings …

Artificial intelligence (AI), specifically machine learning (ML), is adept at identifying patterns
and insights from vast amounts of data from routine outcome monitoring (ROM) and clinical …

Zusammenfassung Hintergrund In diesem Beitrag werden die konzeptionellen Grundlagen
sowie die klinischen Implikationen eines forschungsbasierten t rans t heoretischen T …

Recently, the active inference framework (AIF) has been suggested as a unified theoretical
framework for psychopathology and psychotherapy integration. In this line of reasoning …

Belief updating is a useful tool for understanding feedback effects in psychotherapy. Like all
tools, it has limits: it will perform well in some situations, and it is not suited for other tasks …