Year: 2025
Type: article
Abstract: This study compares the quality of treatment plans generated by human mental health professionals and artificial intelligence (AI) agents across five therapeutic modalities: cognitive behavioral therapy (CBT), emotionally focused therapy (EFT), dialectical behavior therapy (DBT), acceptance and commitment therapy (ACT), and internal family systems (IFS). Seven interdisciplinary groups of five licensed therapists, each comprising one specialist from each modality, developed treatment plans for standardized case vignettes alongside AI-generated plans. A panel of independent judges conducted blind evaluations based on clinical soundness, relevance, completeness, applicability, practicality, and ethical considerations. The study shows that AI-generated treatment plans are indistinguishable in quality to those created by human professionals, offering insights into the potential role of AI in clinical mental health settings, especially in contexts where supervision is limited or inaccessible.
Source: Athens Journal of Psychology
DOI: 10.30958/ajpsy.1-3-4
Authors: Jila Behnad, Babak Hodjat
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4413852328