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August 26, 2025Open Access

ΔAPT: Can we build an AI Therapist? Interdisciplinary critical review aimed at maximizing clinical outcomes using Large Language Models for AI Psychotherapy.

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Authors

JAJacqueline L. Angel

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Overview

Interdisciplinary review reveals AI psychotherapeutic tools offer non-inferior outcomes in mental healthcare, suggesting architectural improvements for efficacy.

Key Points

  • AI psychotherapeutic tools achieve clinical outcomes comparable to human therapists, transforming access to mental healthcare.
  • Comparative analysis shows newer tools surpass earlier chatbots, emphasizing the importance of large language models in therapy.
  • Framework outlines architectural solutions to enhance therapy models, focusing on context engineering and multi-agent approaches.
  • Findings highlight urgent need for addressing limitations in AI therapy, particularly issues like sycophancy and safety risks.

Cite This Study

Jacqueline L. Angel (2025) studied this question.

synapsesocial.com/papers/68af63efad7bf08b1eae4b8fhttps://doi.org/10.31234/osf.io/4tmde_v1
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