Accessibility settings

This paper is in the following e-collection/theme issue:

Digital Health Reviews (1841) Natural Language Processing (971) Depression and Mood Disorders; Suicide Prevention (1771) Anxiety and Stress Disorders (1380) Machine Learning (2260) Mental Health Issues in Adolescence (682)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78186, first published .
The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis

The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis

The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis

Authors of this article:

Qiuxue Du1 Author Orcid Image ;   Yongliang Ren1 Author Orcid Image ;   Ze-long Meng2 Author Orcid Image ;   Han He1 Author Orcid Image ;   Shasha Meng1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Uzoma C, Chukwuedo G, Isaac E, Uzoma V, Eneh S, Chinyere F, Precious O, Onukansi F. Chatbots as frontline educators in sexual reproductive health rights: evidence, limitations, and ethical considerations. Frontiers in Digital Health 2026;8 View
  2. Khosravi M, Yousefi-Roobiyat M, Asghari Z, Nakhaei M, Khosravi F. Comparison of the performance of ChatGPT-5, Gemini 3, Copilot, Perplexity, and medical students in answering neurology questions: a cross-sectional study. Scientific Reports 2026 View
  3. Gautam C, Kumar P. Are AI Companions Real Companions? A BERT‐Based Study of Replika Reviews. Journal of Consumer Behaviour 2026 View