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JMIR Mental Health: AI in Mental Health

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mental.jmir.org·mental.jmir.org/

Relevant to AI safety researchers examining deployment risks in sensitive domains; mental health AI raises concerns about manipulation, vulnerable users, and high-stakes automated decision-making that intersect with alignment and ethics debates.

Metadata

Importance: 35/100homepage

Summary

JMIR Mental Health is an open-access peer-reviewed journal publishing research on digital health interventions, AI applications, and technology-assisted mental health care. It covers topics including AI-driven diagnostics, chatbot therapy, mobile health apps, and ethical considerations in deploying AI for mental health. The journal is a primary venue for empirical research on the intersection of technology and psychiatric care.

Key Points

  • Publishes peer-reviewed research on AI and digital technology applications in mental health diagnosis and treatment.
  • Covers ethical concerns around AI in mental health including data privacy, algorithmic bias, and manipulation risks.
  • Includes studies on conversational agents, chatbots, and LLMs used in therapeutic or supportive contexts.
  • Relevant to AI safety discussions around vulnerable populations and high-stakes deployment of AI systems.
  • Open-access format makes research widely available to researchers, clinicians, and policymakers.

Cited by 1 page

PageTypeQuality
AI-Induced Cyber PsychosisRisk37.0

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JMIR Mental Health 
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 JMIR Mental Health
 

 Internet interventions, technologies, and digital innovations for mental health and behavior change.


 JMIR Mental Health is the official journal of the Society of Digital Psychiatry . 

 
 Editor-in-Chief:
 John Torous, MD, MBI, Harvard Medical School, USA

 
 Impact Factor 5.8 More information about Impact Factor CiteScore 10.2 More information about CiteScore 

 JMIR Mental Health (JMH, ISSN 2368-7959 , Journal Impact Factor 5.8, Journal Citation Reports 2025 from Clarivate) is a premier, open-access, peer-reviewed journal with a unique focus on digital health and Internet/mobile interventions, technologies, and electronic innovations (software and hardware) for mental health, addictions, online counseling, and behavior change. The journal publishes research on system descriptions, theoretical frameworks, review papers, viewpoint/vision papers, and rigorous evaluations that advance evidence-based care, improve accessibility, and enhance the effectiveness of digital mental health solutions. It also explores innovations in digital psychiatry, e-mental health, and clinical informatics in psychiatry and psychology, with an emphasis on improving patient outcomes and expanding access to care.


 The journal is indexed in PubMed Central and PubMed, MEDLINE , Scopus , Sherpa/Romeo, DOAJ , EBSCO/EBSCO Essentials, SCIE, PsycINFO and CABI . 


 JMIR Mental Health received a Journal Impact Factor of 5.8 ( ranked Q1 #25/288 journals in the category Psychiatry, Journal Citation Reports 2025 from Clarivate).


 JMIR Mental Health received a Scopus CiteScore of 10.2 (2024), placing it in the 93rd percentile (#35 of 580) as a Q1 journal in the field of Psychiatry and Mental Health.

 Read More 
 Recent Articles
 

 
 Innovations in Mental Health Systems
 
 Peer Mentor Training and Supervision for a Digital Adolescent Depression Treatment in South Africa and Uganda: Mixed Methods Evaluation
 Blended digital mental health interventions combining technology with human support are more effective than stand-alone treatments. However, limited research has examined how to train and supervise personnel delivering human support components. The Kuamsha app, a gamified digital intervention for adolescent depression based on behavioral activation, was designed to be paired with low-intensity telephone-based peer support. A structured training and supervision program for peer supporters was codeveloped through workshops with mental health professionals and youth with lived experience of mental health challenges in South Africa and Uganda. To the best of our knowledge, this is the first study to evaluate a structured peer mentor model within a digital mental health intervention in low- and middle-income countries. 

 2026-04-09
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