AI-Driven Innovations in Rehabilitation: Integrating Neurological, Musculoskeletal, Sports Medicine and Occupational Therapy Interventions
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 73
Special Issue Editors
Interests: neurological diseases; musculoskeletal injuries; soccer; machine learning; biomechanics
Special Issues, Collections and Topics in MDPI journals
Interests: anatomy; sport injuries; therapeutic exercises; musculoskeletal injuries and exercise; athletic training
Special Issue Information
Dear Colleagues,
This Special Issue will highlight cutting-edge advancements at the intersection of artificial intelligence, machine learning, and multidisciplinary rehabilitation approaches. We welcome contributions that address the development and application of intelligent systems to support recovery and functional improvement in individuals affected by neurological disorders, musculoskeletal conditions, and sports-related injuries.
In particular, we invite submissions that explore AI-enhanced strategies regarding the following:
- Neurological rehabilitation: data-driven interventions for stroke, traumatic brain injury, Parkinson’s disease, spinal cord injuries, and other neurological conditions.
- Musculoskeletal therapy: intelligent tools and biomechanical assessments supporting recovery from joint replacements, tendon injuries, chronic pain, and degenerative conditions.
- Sports medicine: machine learning applications for predicting injury risk, monitoring performance, and tracking rehabilitation progress.
- Occupational therapy: AI-supported approaches to enhance functional independence, cognitive and motor skills, adaptive equipment use, and home/work reintegration for patients with diverse diagnoses.
- Personalized rehabilitation plans: tailoring treatment using real-time data from wearable sensors, motion tracking, neuroimaging, and patient-reported outcomes.
This Special Issue seeks to bring together researchers, clinicians, engineers, occupational therapists, and data scientists to present innovative approaches that reshape how we understand and deliver rehabilitation across settings and disciplines.
Dr. Christos Kokkotis
Dr. Paraskevi Malliou
Guest Editors
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. Applied Sciences 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 2400 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
- rehabilitation
- artificial intelligence
- neurological disorders
- musculoskeletal therapy
- sports medicine
- occupational therapy
- personalized treatment
- biomechanical assessment
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