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

Digital Health Reviews (1724) Machine Learning (2076) Natural Language Processing (917) Anxiety and Stress Disorders (1330) Depression and Mood Disorders; Suicide Prevention (1691) Mental Health Issues in Adolescence (637)

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 Tweetations Metrics

Qiuxue Du   1 , MS ;   Yongliang Ren   1 * , MA ;   Ze-long Meng   2 * , PsyD ;   Han He   1 , MS ;   Shasha Meng   1 , MEd

1 Beijing Yuxin Technology Co., Ltd, Beijing, China

2 Department of Psychology, School of Humanities and Social Sciences, Beijing Forestry University, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Yongliang Ren, MA
  • Beijing Yuxin Technology Co., Ltd
  • Room 2-5, 13th Floor, Building 2, No. 48, Zhichun Road, Haidian District
  • Beijing 100086
  • China
  • Phone: 86 010-81377053
  • Email: yongliang@cylingo.com