Therapeutic effectiveness of artificial-intelligence-enabled applications for reducing anxiety and depression: a systematic review of short- and long-term interventions

Asyiqin, Sofea and Sazali, Razif and Md Yusoff, Yusandra and Zulqarnain, Muhammad and Haziq, Amrun and Adnan, Aizzat and Linoby, Adam (2025) Therapeutic effectiveness of artificial-intelligence-enabled applications for reducing anxiety and depression: a systematic review of short- and long-term interventions. In: International Graduate Colloquium: Sports and Physical Exercise Assembly of Knowledge Sharing i-SPEAK 2025 Series 2. Universiti Teknologi MARA, Negeri Sembilan, pp. 144-145. ISBN 978-629-95953-5-9

Abstract

This systematic review and meta-analysis evaluate the short- and long-term effectiveness of AI-enabled chatbots for treating anxiety and depression. By synthesizing randomized controlled trials (RCTs) searched through January 2025 across major clinical databases, the study assesses treatment duration, risk of bias, and evidence certainty across diverse populations. Unlike previous research, this analysis uniquely integrates both immediate and follow-up outcomes to provide a comprehensive evaluation of chatbot-led psychotherapy.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Asyiqin, Sofea
UNSPECIFIED
Sazali, Razif
UNSPECIFIED
Md Yusoff, Yusandra
UNSPECIFIED
Zulqarnain, Muhammad
UNSPECIFIED
Haziq, Amrun
UNSPECIFIED
Adnan, Aizzat
UNSPECIFIED
Linoby, Adam
UNSPECIFIED
Subjects: B Philosophy. Psychology. Religion > BF Psychology > Affection. Feeling. Emotion
L Education > LB Theory and practice of education > Teaching (Principles and practice) > Educational research. Regional educational laboratories.
L Education > LB Theory and practice of education > Teaching (Principles and practice) > Technology. Educational technology
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Page Range: pp. 144-145
Keywords: AI chatbots, mental health, depression, systematic review
Date: October 2025
URI: https://ir.uitm.edu.my/id/eprint/135465
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