AI Predicts CBT Response In Anxiety Disorders
A 2026 systematic review and meta-analysis pooled 11 studies to evaluate AI models predicting CBT treatment response for anxiety disorders, using data up to August 2025. Pooled sensitivity was 0.73, specificity 0.75, accuracy 0.74, and summary AUC 0.81, indicating moderate discriminative performance; models using multimodal data achieved higher accuracy (0.82) and social anxiety disorder showed highest predictability. Findings suggest prioritizing validated multimodal models for clinical translation.
Scoring Rationale
Meta-analytic synthesis with peer-reviewed registration supports reliability, but moderate heterogeneity and limited clinical readiness constrain impact.
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