Safety Evaluation of a Clinical-Grade Generative AI Agent for Anxiety and Depression Symptoms

Abstract excerpt

<p>Background: Generative AI could radically improve engagement with digital mental health interventions. However, responsible deployment requires controls around non-deterministic outputs and safety evidence. <h4>Objective:</h4> This study aimed to evaluate the user safety risk and early signals of clinical effectiveness of a clinician-curated generative AI care agent for anxiety and depression symptoms, using la...

Topics

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• Cross-Sectional Studies
• LPA gene
• Latent Class Analysis
• Models, Statistical
• Phenotype
• Stress Disorders, Post-Traumatic

Identifiers and source

Literature Corpus work

29b6f5e0-6b4e-5a49-8fe6-d8c81ed1a1de

DOI

10.31234/osf.io/8kvm6_v1