Healthcare Innovation and AI in Mental Health
A special issue of Healthcare (ISSN 2227-9032).
Deadline for manuscript submissions: 30 May 2026 | Viewed by 113
Special Issue Editor
Interests: positive psychology; health outcomes; disability and chronic conditions; veterans
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
While mental health is a key global health priority, substantial challenges in accessing quality, holistic, and equitable mental healthcare persist. The rising burden of mental health conditions necessitates transformative solutions leveraging advanced technologies and novel care models. Artificial intelligence (AI) and current digital innovations are poised to redefine mental healthcare, offering unprecedented scalable, personalized, and proactive support.
To explore this, the Special Issue "Healthcare Innovation and AI in Mental Health" is calling for original research, reviews, conceptual papers, and practice-based insights. We seek interdisciplinary work on how technological innovation, particularly AI and digital health technologies, can revolutionize mental healthcare systems, addressing the development, evaluation, implementation, and ethical considerations of these emerging tools for diverse populations. Topics may include, but are not limited to, the following:
- AI and digital health approaches in mental health screening, diagnosis, and prediction.
- Precision medicine approaches in mental healthcare.
- Machine learning for mental healthcare, suicide prevention, crisis intervention, and relapse detection.
- Chatbots and digital companions for mental and emotional health support.
- Ethical and legal considerations of AI in mental healthcare.
- Evidence from big datasets to inform mental healthcare and policy.
- Culturally responsive AI mental healthcare approaches.
- AI-powered clinical decision making in mental health settings.
- Innovations to reduce healthcare disparities in serious mental illness, trauma, and underserved populations care.
We seek scientific contributions from researchers, clinicians, stakeholders, public health professionals, and policymakers who are evaluating the integration of AI technology and innovation in mental healthcare. The goal of this Special Issue and Editorial Team is to highlight promising AI tools and evidence-based models, improving mental health outcomes, reducing disparities, and strengthening mental health systems globally.
Dr. Emre Umucu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence [AI] in mental health
- machine learning
- precisive mental healthcare
- innovations in mental healthcare
- inclusive AI tools for mental healthcare
- predictive analytics
- chatbots for mental healthcare
- serious mental illness
- big data in mental healthcare
- community-based AI mental health interventions
- human-centered AI
- ethics in AI and machine learning
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