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Cognitive Therapy

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Cognitive therapy, pioneered by Aaron T. Beck in the 1960s, is a structured approach to addressing psychological distress by focusing on the influence of thoughts on emotions and behaviors. All cognitive therapies involve the basic assumption that human beings have control over their feelings, and that how individuals feel about something depends on how they think about it. Unlike psychoanalytic methods that delve into unconscious processes or humanistic approaches emphasizing...

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Related Experiment Video

Updated: Jan 13, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

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From innovation to implementation: Artificial intelligence in cognitive behaviour therapy training and supervision.

Roz Shafran¹, Laura Bond², Per Carlbring³

¹Great Ormond Street Institute for Child Health, University College London, United Kingdom.

Behaviour Research and Therapy

|January 9, 2026

Summary

Artificial intelligence (AI) can enhance mental health care training by simulating patients and offering real-time feedback. This technology promises greater efficiency and accessibility in evidence-based psychotherapy supervision, despite facing challenges.

Keywords:

AI Artificial intelligence Cognitive behaviour therapy Global Guidelines Mental health Supervision Training

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Area of Science:

Mental Health
Artificial Intelligence
Psychotherapy Training

Background:

Mental health care globally faces challenges in training and supervision for evidence-based psychotherapies.
Cognitive and behavioral therapies (CBT) require consistent and effective training protocols.

Purpose of the Study:

To describe the potential role of AI in clinician training and supervision for evidence-based psychotherapies.
To outline the gains, challenges, and risks associated with AI implementation in this field.

Main Methods:

The paper reviews the potential applications of AI in simulating patient interactions for assessment and therapy.
It discusses AI's capability to provide real-time, personalized feedback on treatment fidelity.
AI's role in developing cultural sensitivity among trainees is also explored.

Main Results:

AI can significantly improve the efficiency, consistency, effectiveness, and accessibility of psychotherapy training.
Simulated patients and real-time feedback offer novel training modalities.
AI can aid in developing crucial clinical skills like cultural sensitivity.

Conclusions:

AI holds transformative potential for global mental health care training and supervision.
Key challenges include data quality, ethical considerations, low-resource implementation, and the need for rigorous research.
Guidelines are proposed for the responsible development and deployment of AI in CBT training to maximize benefits and minimize risks.