International Journal of Artificial Intelligence in Mental Health (IJAIMH)

Advancing Mental Health Research Through Responsible Innovation in Artificial Intelligence

About

Welcome to the International Journal of Artificial Intelligence in Mental Health (IJAIMH)

IJAIMH is a forthcoming, peer-reviewed, open-access academic journal dedicated to advancing mental health research, care, and policy through the responsible and innovative use of artificial intelligence. Currently in the process of organizing its inaugural editorial board and preparing for its first Call for Papers, IJAIMH is committed to providing an elite, interdisciplinary platform for researchers, clinicians, data scientists, and policy experts to collaborate at the forefront of computational mental health innovation.At IJAIMH, artificial intelligence is viewed as a powerful tool — not the primary object of study — for addressing critical challenges in mental health. The journal's focus is on leveraging AI methodologies such as machine learning, natural language processing, predictive analytics, and digital phenotyping to improve mental health outcomes, enhance diagnostic precision, inform treatment strategies, and reduce global mental health disparities.We will welcome original research articles, systematic reviews, meta-analyses, methodological innovations, perspectives, case studies, and protocol papers that demonstrate rigorous scientific methodology, ethical integrity, reproducibility, and a clear translational impact on mental health research, practice, or policy.IJAIMH is dedicated to advancing mental health research and practice through the responsible and innovative application of artificial intelligence technologies. At IJAIMH, artificial intelligence is viewed as a critical tool — not the primary object of study — for addressing complex challenges in mental health diagnosis, treatment, prevention, and policy development. The journal focuses on publishing high-quality interdisciplinary scholarship that leverages machine learning, natural language processing, predictive analytics, digital phenotyping, and other AI-driven methodologies to improve mental health outcomes across diverse populations. We welcome contributions from researchers, clinicians, data scientists, ethicists, and public health experts committed to using computational tools to enhance mental health understanding, promote equitable access to care, and foster global mental health innovation. All submissions should demonstrate scientific rigor, reproducibility, ethical integrity, and a clear translational impact on mental health research or practice.

Our Commitment
IJAIMH is committed to promoting:
- Scientific Excellence: Upholding the highest standards of rigor, reproducibility, and transparency.
- Global Collaboration: Encouraging diverse, international contributions to foster inclusive innovation.
- Open Access: Ensuring that all published articles will be freely available to the global community, readers and authors, to support the equitable dissemination of knowledge.
- Ethical Advancement: Prioritizing ethical frameworks in AI development that are ethical, respectful of human rights, and equitable in reducing health disparities.

Why Publish with IJAIMH?
- Rapid, fair, and rigorous peer review process
- Global editorial board of experts in AI, psychiatry, psychology, neuroscience, and data science (currently in formation)
- Wide international readership and open-access visibility
- Commitment to ethical AI principles and open science initiativesOur Vision
We envision a future where responsible artificial intelligence transforms mental health research, care, and systems — reducing global disparities and improving lives worldwide.Join us as we build an international platform for the next generation of innovation at the intersection of AI and mental health.

Contact

Notice:
The editorial office is currently finalizing infrastructure for journal communications. A dedicated editorial email ([email protected]) will be operational shortly. We appreciate your patience as we complete this phase of development.