Revolutionizing Cognitive Rehabilitation: The Role of Digital Technologies

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: 10 October 2026 | Viewed by 784

Special Issue Editors


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Guest Editor
Department of Psychology, Educational Sciences and Human Movement, University of Palermo, 90128 Palermo, Italy
Interests: general psychology; cognitive rehabilitation; human factors and ergonomics; personality psychology; web psychology; human-robot interaction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Department of Psychology, Educational Sciences and Human Movement, University of Palermo, 90128 Palermo, Italy
Interests: general psychology; cognitive rehabilitation with digital technologies; human factors and ergonomics; healthcare decision-making; psychology of thinking

Special Issue Information

Dear Colleagues,

The Special Collection "Revolutionizing Cognitive Rehabilitation: The Role of Digital Technologies" aims to delve into the growing impact of digital technologies in reshaping the landscape of cognitive rehabilitation. With advances in artificial intelligence, virtual reality, and other digital tools, cognitive rehabilitation programs are increasingly incorporating innovative solutions to enhance recovery, adaptability, and quality of life for individuals with cognitive impairments resulting from conditions such as brain injuries, stroke, neurodegenerative disorders, or developmental challenges. This Special Collection will provide a platform for interdisciplinary contributions from fields including neuroscience, psychology, rehabilitation sciences, computer science, and health technology. It seeks to feature empirical studies, systematic reviews, case studies, and conceptual frameworks addressing the following topics: the development and evaluation of digital tools and platforms for cognitive rehabilitation; the application of virtual reality, augmented reality, and gamification in enhancing cognitive functions; artificial intelligence and machine learning approaches in personalizing cognitive rehabilitation interventions; the integration of wearable devices, mobile applications, and sensor-based systems for real-time feedback and progress tracking; the challenges of ensuring accessibility, usability, and cultural inclusivity in cognitive rehabilitation technologies; comparisons of digital and traditional rehabilitation methods in terms of efficacy, scalability, and cost-effectiveness; and the role of digital technologies in supporting cognitive training and rehabilitation in remote and underserved settings. 

Dr. Barbara Caci
Guest Editor

Dr. Margherita Dahò
Guest Editor Assistant

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Keywords

  • cognitive rehabilitation
  • cognition
  • digital technologies
  • virtual reality
  • artificial intelligence
  • feasibility
  • usability
  • acceptability

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Published Papers (1 paper)

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17 pages, 328 KB  
Perspective
Clinical Decision Support Systems and Artificial Intelligence in ADHD Assessment and Rehabilitation: Opportunities and Challenges for Technology-Assisted Care
by Margherita Dahò and Barbara Caci
Healthcare 2025, 13(23), 3171; https://doi.org/10.3390/healthcare13233171 - 4 Dec 2025
Viewed by 18
Abstract
Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition affecting children, adolescents, and adults worldwide. Despite evidence-based treatments, long-term functional outcomes remain variable due to heterogeneity in symptoms, comorbidities, and environmental contexts. Digital technologies, including AI-augmented digital Clinical Decision Support Systems (CDSSs), [...] Read more.
Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition affecting children, adolescents, and adults worldwide. Despite evidence-based treatments, long-term functional outcomes remain variable due to heterogeneity in symptoms, comorbidities, and environmental contexts. Digital technologies, including AI-augmented digital Clinical Decision Support Systems (CDSSs), are increasingly proposed to support more precise and personalized ADHD care. This concept paper provides a theoretical discussion of the potential applications of CDSSs in ADHD rehabilitation and examines key considerations for system design, usability, and ethical implementation. Discussion: CDSSs and AI technologies offer conceptual promise for enhancing ADHD care by integrating patient-specific data to guide diagnosis, intervention planning, monitoring, and outcome prediction. Incorporating Human–Computer Interaction (HCI) principles is critical to ensure systems are intuitive, engaging, and supportive of adherence, particularly for children and adolescents with ADHD. Ethical, practical, and implementation challenges, including data privacy, equity, and variability in healthcare infrastructures, must be addressed. Thoughtful design and governance of AI-supported CDSSs may improve decision-making, optimize functional outcomes, and facilitate more individualized rehabilitation pathways. Conclusions: The paper concludes by emphasizing future research directions that may include translating conceptual frameworks into empirically testable models, developing guidelines for user-centered and ethically responsible technology deployment, and evaluating long-term impacts on clinical outcomes. By providing a theoretical foundation, this paper aims to guide the integration of AI-augmented CDSSs into technology-assisted ADHD rehabilitation while highlighting the importance of ethical, practical, and human-centered design considerations. Full article
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