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September 24, 2025Open Access

CBT Trainer: An AI Virtual Patient Platform for Training CBT Practitioners against Competencies — Pilot Study

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Authors

TZT. ZhangRSRob SaundersSPStephen Pilling

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Overview

Pilot study reveals AI simulation effectively supports competency assessment in CBT training, suggesting improved learning outcomes.

Key Points

  • AI-based virtual patient simulation enhanced training experiences and improved competency self-assessment among participants.
  • Participants averaged 95.24 minutes on roleplays, creating 4.15 sessions with an average of 49.69 interactions each.
  • The platform received excellent usability scores, achieving an average SUS score of 82.20, indicating high satisfaction levels.
  • Participants valued immediate feedback and convenience over traditional CBT training methods, showcasing its potential advantages.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68d6d82e8b2b6861e4c3e072https://doi.org/10.31234/osf.io/h84qn_v4
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Also Consider

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  1. 1AI Patients for Training CBT Therapists to Develop Clinical Competence: Pilot Study of CBT Trainer (Preprint)2025
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