AIMC Topic: Psychotherapy

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Practice-Oriented Research: An Introduction to New Developments and Future Directions.

Administration and policy in mental health
Aimed at understanding and improving psychological therapies as they are conducted in clinical routine, practice-oriented research (POR) is now a well-established approach to the scientific foundations of mental health care services. Resting on the a...

Decoding emotions: Exploring the validity of sentiment analysis in psychotherapy.

Psychotherapy research : journal of the Society for Psychotherapy Research
OBJECTIVE: Given the importance of emotions in psychotherapy, valid measures are essential for research and practice. As emotions are expressed at different levels, multimodal measurements are needed for a nuanced assessment. Natural Language Process...

Qhali: A Humanoid Robot for Assisting in Mental Health Treatment.

Sensors (Basel, Switzerland)
In recent years, social assistive robots have gained significant acceptance in healthcare settings, particularly for tasks such as patient care and monitoring. This paper offers a comprehensive overview of the expressive humanoid robot, Qhali, with a...

Leveraging natural language processing to study emotional coherence in psychotherapy.

Psychotherapy (Chicago, Ill.)
The association between emotional experience and expression, known as emotional coherence, is considered important for individual functioning. Recent advances in natural language processing (NLP) make it possible to automatically recognize verbally e...

Psychotherapy, artificial intelligence and adolescents: ethical aspects.

Journal of preventive medicine and hygiene
Artificial intelligence (AI) has rapidly advanced in various domains, including its application in psychotherapy. AI-powered psychotherapy tools present promising solutions for increasing accessibility to mental health care. However, the integration ...

Predicting treatment response using machine learning: A registered report.

The British journal of clinical psychology
OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively scr...

Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.

Psychopathology
BACKGROUND: New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-expressions. These advances have promising applications for psychotherapy research, since manual cod...

A Tutorial Introduction to Heterogeneous Treatment Effect Estimation with Meta-learners.

Administration and policy in mental health
Psychotherapy has been proven to be effective on average, though patients respond very differently to treatment. Understanding which characteristics are associated with treatment effect heterogeneity can help to customize therapy to the individual pa...

Psychotherapy and Artificial Intelligence.

Journal of psychiatric practice
This column explores the challenges involved in providing psychotherapy through artificial intelligence. It reviews artificial intelligence's capacity across schools of therapy to address relevant issues related to privacy, the use of technical inter...