Artificial Intelligence and Multimodal Technologies for Mental Health Monitoring and Intervention
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".
Deadline for manuscript submissions: 1 May 2026 | Viewed by 32
Special Issue Editor
Interests: computer vision; human factors; brain–computer interfaces; affective computing; biosignal processing; wearable sensors; multimodal data fusion; deep learning; facial expression analysis
Special Issue Information
Dear Colleagues,
Mental health disorders, including depression, anxiety, and post-traumatic stress disorder (PTSD), are among the leading causes of disability worldwide and place a growing burden on both individuals and healthcare systems. Recent advances in artificial intelligence (AI), affective computing, and multimodal sensing technologies offer promising new avenues for understanding, monitoring, and supporting mental health. The integration of physiological, behavioral, and neurocognitive data with intelligent algorithms enables non-invasive, real-time, and personalized mental health solutions, enhancing both diagnosis and intervention.
We are pleased to invite you to submit your contributions to this Special Issue on “Artificial Intelligence and Multimodal Technologies for Mental Health Monitoring and Intervention”, to be published as part of the journal Healthcare. This Special Issue aims to highlight interdisciplinary approaches that align with the journal’s scope of advancing healthcare delivery, mental wellbeing, and health technologies. We welcome work that bridges the gap between AI innovation and clinical impact in mental health contexts.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI-based diagnosis and monitoring of mental health disorders (e.g., PTSD, depression, anxiety, ADHD);
- Multimodal signal processing and computer vision (e.g., EEG, fNIRS, ECG, EDA, eye-tracking, facial expressions);
- Wearable and mobile technologies for real-time mental health monitoring;
- Digital therapeutics and intelligent intervention platforms;
- Human–computer interactions in mental health support systems;
- Applications in clinical, telehealth, or real-world settings.
We look forward to receiving your contributions.
Dr. Ghazal Bargshady
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
- AI in mental healthcare
- affective computing
- biosignal processing in healthcare
- facial expression
- wearable sensors
- brain–computer interface
- human–computer interactions
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