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

Digital Health Reviews (1825) Machine Learning (2230) Natural Language Processing (954) Anxiety and Stress Disorders (1373) Depression and Mood Disorders; Suicide Prevention (1755) Mental Health Issues in Adolescence (676)

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
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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