eHealth and Personalized Medicine in Mental Health and Neurodevelopmental Disorders: Digital Innovation for Diagnosis, Care, and Clinical Management

Mental health and neurodevelopmental disorders (NDDs) encompass a diverse spectrum of conditions such as mood disorders, schizophrenia, anxiety disorders, autism spectrum disorder, and attention-deficit hyperactivity disorder. These conditions are heterogeneous in their clinical presentation, progression and response to treatment and support interventions, necessitating a shift toward personalized and precision medicine.

The rapid advancement of eHealth technologies has provided unprecedented opportunities to improve the diagnosis, treatment and clinical management of these conditions. Digital tools such as artificial intelligence (AI), machine learning, wearable sensors, mobile health applications, telemedicine and big data analytics offer innovative ways to tailor interventions to individual needs, monitor real-time changes, and facilitate early interventions for at-risk individuals.

This Research Topic aims to explore the integration of eHealth solutions into clinical practice, promoting a multidisciplinary perspective that bridges neuroscience, psychiatry, psychology and digital health. Studies employing real-world data, large-scale cohort analyses, and patient-centered digital solutions are particularly encouraged, as they offer insights into how technology can bridge the gap between research and clinical care.

We welcome articles addressing, but not limited to, the following themes:

* Innovative digital health interventions,
* Remote health monitoring and management systems,
* AI-assisted diagnosis and personalized treatment strategies,
* Digital phenotyping and predictive modelling,
* Ethical and accessibility considerations in digital health,
* Clinical trials and large-scale studies using digital tools.

By bringing together cutting-edge research, this collection seeks to foster collaboration between clinicians, researchers, engineers, and policymakers, advancing the implementation of digital tools in mental health and neurodevelopmental disorders. Our goal is to promote inclusive, scalable, and evidence-based digital solutions that optimize care pathways, enhance patient outcomes, and support individuals, families, and healthcare professionals in managing these complex and lifelong conditions.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Classification
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• FAIR² Data
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Classification
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Curriculum, Instruction, and Pedagogy
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: eHealth, machine learning, AI

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.