AI-Driven Rehabilitation: Advances in Personalized Healthcare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 120
Special Issue Editors
Interests: artificial intelligence; deep learning; explainable artificial intelligence; human behavior analysis; user-centered solutions; medical image processing; human–machine interaction; computer vision
Interests: computer vision; digital image processing; image segmentation; human–computer interaction; image analysis; 3D image processing; medical and biomedical image processing; extended reality; augmented reality; mixed reality; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: product lifecycle management; product design and development; human–machine interaction; human–machine interface; computer-aided design; extended reality; augmented reality; virtual reality; computer vision; digital image processing; image segmentation; human–computer interaction; image analysis; 3d image processing; medical and biomedical image processing; mixed reality; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
“AI-Driven Rehabilitation: Advances in Personalized Healthcare” explores the evolving role of Artificial Intelligence (AI) in shaping next-generation rehabilitation within the broader vision of personalized healthcare and Healthcare 5.0. AI-driven approaches, increasingly supported by Explainable Artificial Intelligence (XAI), enable the transparent and continuous analysis of patient-specific data, fostering trust while supporting adaptive and individualized therapy pathways aligned with the principles of 4P medicine—predictive, preventive, personalized, and participatory care.
These advancements allow more accurate assessment of functional recovery, early identification of risks, and the design of targeted interventions. In this context, enabling technologies such as wearable and vision-based tracking systems contribute to the objective monitoring of patient performance, while immersive solutions such as extended reality (XR) offer new opportunities for engaging and interactive rehabilitation experiences.
This Special Issue aims to collect contributions on innovative AI-based methods and applications for rehabilitation, with a focus on personalization, adaptability, and clinical impact. Submissions addressing integrated and patient-centered solutions are particularly encouraged, including those supporting remote and home-based care and contributing to more efficient and scalable healthcare systems.
Dr. Giorgia Marullo
Dr. Luca Ulrich
Prof. Dr. Enrico Vezzetti
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- deep learning (DL)
- explainable artificial intelligence (XAI)
- extended reality (XR)
- human motion tracking
- personalized rehabilitation
- remote rehabilitation
- healthcare 5.0
- 4P medicine
- vision-based tracking
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