AIMC Topic: Psychotherapy

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For whom should psychotherapy focus on problem coping? A machine learning algorithm for treatment personalization.

Psychotherapy research : journal of the Society for Psychotherapy Research May 25, 2021
OBJECTIVE: We aimed to develop and test an algorithm for individual patient predictions of problem coping experiences (PCE) (i.e., patients' understanding and ability to deal with their problems) effects in cognitive-behavioral therapy. In an outpat...
Adaptation, Psychological Cognitive Behavioral Therapy Algorithms Psychotherapy Humans Machine Learning
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Improvements to PTSD quality metrics with natural language processing.

Journal of evaluation in clinical practice May 24, 2021
RATIONALE AIMS AND OBJECTIVES: As quality measurement becomes increasingly reliant on the availability of structured electronic medical record (EMR) data, clinicians are asked to perform documentation using tools that facilitate data capture. These t...
Humans Natural Language Processing Psychotherapy United States Department of Veterans Affairs Stress Disorders, Post-Traumatic United States Electronic Health Records
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Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University.

Frontiers in public health Apr 9, 2021
There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot study aimed to explore postgraduate clinical psychology students' familiarity and formal exposure to topics related to artificial intelligence and machine...
Surveys and Questionnaires Universities Psychotherapy Psychology, Clinical Switzerland Artificial Intelligence Machine Learning Pilot Projects Humans
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How do you feel? Using natural language processing to automatically rate emotion in psychotherapy.

Behavior research methods Mar 22, 2021
Emotional distress is a common reason for seeking psychotherapy, and sharing emotional material is central to the process of psychotherapy. However, systematic research examining patterns of emotional exchange that occur during psychotherapy sessions...
Language Emotions Natural Language Processing Humans Machine Learning Psychotherapy
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[Psychotherapy with an Autonomous Artifical Intelligence - Ethical Benefits and Challenges].

Psychiatrische Praxis Mar 2, 2021
OBJECTIVE: This paper provides an overview of a range of ethical aspects involved in the use of autonomous, virtual or embodied artificial intelligence (AI) in the care of people with mental health issues.
Artificial Intelligence Intelligence Psychotherapy Humans Germany Morals
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[Diagnostics and Therapy 24/7? Artificial Intelligence as a Challenge and Opportunity in Psychiatry and Psychotherapy].

Psychiatrische Praxis Mar 2, 2021
OBJECTIVE: The aim of the article is to enable a fundamental understanding of the potentials and requirements of Artificial Intelligence (AI) for psychiatrists in the present and for the development of future working environments. Psychiatrists will ...
Psychiatry Psychotherapy Humans Germany Artificial Intelligence Mental Disorders
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A scoping review of machine learning in psychotherapy research.

Psychotherapy research : journal of the Society for Psychotherapy Research Aug 29, 2020
Machine learning (ML) offers robust statistical and probabilistic techniques that can help to make sense of large amounts of data. This scoping review paper aims to broadly explore the nature of research activity using ML in the context of psychologi...
Psychotherapy Humans Machine Learning
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Understanding the relationship between patient language and outcomes in internet-enabled cognitive behavioural therapy: A deep learning approach to automatic coding of session transcripts.

Psychotherapy research : journal of the Society for Psychotherapy Research Jul 3, 2020
Understanding patient responses to psychotherapy is important in developing effective interventions. However, coding patient language is a resource-intensive exercise and difficult to perform at scale. Our aim was to develop a deep learning model to...
Internet Psychotherapy Humans Language Cognitive Behavioral Therapy Deep Learning
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Identifying the presence and timing of discrete mood states prior to therapy.

Behaviour research and therapy Feb 27, 2020
The present study tested a novel, person-specific method for identifying discrete mood profiles from time-series data, and examined the degree to which these profiles could be predicted by lagged mood and anxiety variables and time-based variables, i...
Fear Biological Variation, Individual Anger Avoidance Learning Young Adult Hope Adult Humans Psychotherapy Male Anxiety Machine Learning Latent Class Analysis Affect Middle Aged Anxiety Disorders Female Time Factors Rumination, Cognitive Anhedonia Depressive Disorder, Major Depression Irritable Mood
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Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management.

Sensors (Basel, Switzerland) Jan 20, 2020
Coping with stress is crucial for a healthy lifestyle. In the past, a great deal of research has been conducted to use socially assistive robots as a therapy to alleviate stress and anxiety related problems. However, building a fully autonomous socia...
Robotics Crowdsourcing Communication Humans Psychotherapy Speech Man-Machine Systems Algorithms Stress, Psychological
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