Article

Artificial Intelligence Agents in Mental Health: A Systematic Review and Meta Analysis

2026-04-22

Abstract excerpt

The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to build artificial intelligence (AI) agents for mental health assessment, triage, psychotherapy support and clinical decision assistance. Yet a gap persists between healthcare and AI-focused work: while both communities use the language of “agents,” clinical research largely describes monolithic chatbots, whereas AI studi...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: fcca11be-29fe-5e0b-a3e2-7c2615868387
DOI: 10.64898/2026.04.21.26351365

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Artificial Intelligence Agents in Mental Health: A Systematic Review and Meta AnalysisDOI 10.64898/2026.04.21.26351365Read

Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-beingSemantic proximity Read

Artificial Intelligence in Mental Health Treatment and ResearchSemantic proximity Read

AI-Driven Mental Healthcare 5.0: A Survey of Opportunities and Challenges in Leveraging Large Language Models and Generative AISemantic proximity Read

A conversational agent framework for mental health screening: Design, implementation, and usabilitySemantic proximity Read

Safety Mechanisms and Risk Mitigation in Generative AI Mental Health Chatbots: A Systematic Scoping ReviewSemantic proximity Read

Development, System Design, Safety, and Performance Metrics of a Conversational Agent for Reducing Depressive and Anxious Symptoms Based on a Large Language Model: The MHAI StudySemantic proximity Read

Systematic Review of Large Language Models for Mental Health TherapySemantic proximity Read

Will Foundation-Model AI Displace Human-Led Psychotherapeutic Practice?Semantic proximity Read

A Neuro-Symbolic Knowledge Graph and Large Language Model Hybrid Architecture for Multi-Modality Mental Health CounselingSemantic proximity Read

From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental HealthSemantic proximity Read

From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental HealthSemantic proximity Read

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