AI in Mental Health
DETAILS
Call for Papers
Article Collection: AI in Mental Health
Journal
Australian Journal of Psychology
Publisher
Taylor & Francis Group
Manuscript Deadline
03 August 2026
About the Article Collection
The Australian Journal of Psychology invites submissions for its Open Access Article Collection titled "AI in Mental Health."
This collection explores the transformative role of Artificial Intelligence (AI) in advancing mental health research, clinical practice, education, and healthcare systems. AI technologies are increasingly supporting early detection, diagnosis, personalized treatment planning, predictive modelling, digital interventions, and clinical decision-making, offering new opportunities to improve mental healthcare delivery worldwide.
The collection also emphasizes the importance of responsible, human-centered AI by addressing critical issues such as ethics, algorithmic fairness, data governance, cultural relevance, implementation science, and human-AI collaboration. Researchers from psychology, psychiatry, neuroscience, public health, data science, healthcare, education, and related disciplines are encouraged to contribute interdisciplinary research that bridges technological innovation with real-world mental health practice.
Scope and Topics of Interest
Submissions may address, but are not limited to:
Early detection and diagnosis using multimodal data
Explainable AI models for mental healthcare
Predictive modelling for treatment response and relapse prevention
AI-enabled digital mental health interventions and chatbots
Ethical, legal, and social implications of AI in mental health
Bias mitigation and fairness in AI model development
Cultural and contextual relevance of AI applications
AI technologies for education and training of mental health professionals
Implementation science for real-world AI deployment
Human-AI collaboration in therapeutic settings
Participatory design involving clinicians, patients, and practitioners
Governance and responsible management of sensitive mental health data
AI and digital literacy for mental health stakeholders
Submission Guidelines
Original research articles employing qualitative, quantitative, mixed-method, or interdisciplinary approaches are welcome.
Submissions should demonstrate methodological rigor, innovation, and practical relevance for mental health research or practice.
The Article Collection particularly encourages studies examining responsible AI adoption, ethical implementation, and collaborative human-AI systems in mental healthcare.
Authors should submit their manuscripts through the Australian Journal of Psychology online submission system and select the "AI in Mental Health" Article Collection during submission.
Benefits of Publishing
Open Access publication with global visibility
Rigorous peer-review process
Rapid online publication
Wide international dissemination through Taylor & Francis
Opportunity to contribute to one of the fastest-growing interdisciplinary research areas
Guest Advisors
Dr. Wilson Goh, Nanyang Technological University & Imperial College London
Dr. Daniel Poremski, Institute of Mental Health, Singapore
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