Data-Driven Rehabilitation: Artificial Intelligence, Big Data, Robotics, and Digital Health
A Special Issue of Robotics (ISSN 2218-6581) belonging to the section "AI in Robotics".
Deadline for manuscript submissions: 30 March 2027 | Viewed by 16
Editors
Interests: His expertise lies at the intersection of robotics and AI, with a focus on physical and cognitive human–robot interaction, user-state estimation, and the development of adaptive robot behaviors. His work aims to design intelligent systems for advanced assistive and rehabilitation scenarios, enhancing the quality of life through technology
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; robot-aided rehabilitation; human–robot interaction; multimodal monitoring
Interests: robotics for rehabilitation and assistance; biorobotics and bionics; intelligent interfaces for human–machine interaction; surgical robotics and teleoperation; human biomechanics and ergonomics
Special Issues, Collections and Topics in MDPI journals
Interests: His research interests lie at the intersection of human biomechanics, neuromuscular control, and rehabilitation engineering, with a particular focus on the development of intelligent assistive and rehabilitation technologies that enhance human–machine interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of artificial intelligence (AI), big data analytics, cognitive computing, robotics, and digital health technologies is transforming the way rehabilitation is designed, delivered, and evaluated. The increasing availability of multimodal data from wearable sensors, rehabilitation robots, medical imaging, electronic health records, mobile health applications, and patient-reported outcomes provides opportunities to develop intelligent, data-driven rehabilitation systems capable of supporting personalized, adaptive, and evidence-based interventions.
Recent advances in machine learning, deep learning, foundation models, cognitive computing, Internet of Things (IoT) technologies, digital twins, and cloud-based infrastructures are enabling innovative solutions for both physical and cognitive rehabilitation. These technologies facilitate continuous patient monitoring, automated functional and cognitive assessment, predictive modeling of rehabilitation outcomes, intelligent clinical decision support, and adaptive human–machine interaction across clinical and home-based settings. They also contribute to the development of next-generation rehabilitation ecosystems by integrating heterogeneous data sources and enabling scalable, privacy-aware, and interoperable healthcare solutions.
This Special Issue aims to bring together researchers from computer science, artificial intelligence, biomedical engineering, rehabilitation medicine, neuroscience, physiotherapy, occupational therapy, and cognitive sciences to present novel computational methods, intelligent systems, and real-world applications that leverage big data and cognitive computing to advance rehabilitation research and practice. We welcome the contribution of original research articles, review papers, methodological contributions, and translational studies addressing the development, validation, and deployment of AI-enabled rehabilitation technologies for physical, cognitive, and neurorehabilitation. Topics of interest include, but are not limited to, the following:
- Artificial intelligence, machine learning, and cognitive computing for rehabilitation;
- Big data analytics and multimodal data integration in rehabilitation;
- Big and Heterogenous data for patient digital twin methodologies;
- Deep learning, foundation models, and large language models for rehabilitation applications;
- Predictive analytics and clinical decision support systems;
- Precision, personalized, and adaptive rehabilitation;
- Cognitive rehabilitation and AI-driven cognitive assessment;
- Digital biomarkers for physical and cognitive health;
- Rehabilitation robotics, cognitive robots, and intelligent assistive technologies;
- Human–robot interaction and adaptive robotic systems;
- Wearable sensors, Internet of Things (IoT), and remote patient monitoring;
- Computer vision, signal processing, and motion analysis;
- Brain–computer interfaces and neurotechnology for rehabilitation;
- Tele-rehabilitation, digital therapeutics, and home-based rehabilitation systems;
- Digital twins and virtual patient modeling;
- Explainable, trustworthy, and responsible AI in rehabilitation;
- Federated learning, privacy-preserving AI, and secure healthcare data management;
- Cloud-based rehabilitation platforms and intelligent healthcare infrastructures;
- Clinical validation, implementation, and real-world evidence for AI-enabled rehabilitation technologies.
By fostering interdisciplinary collaboration across computer science, cognitive computing, artificial intelligence, biomedical engineering, neuroscience, and rehabilitation sciences, this Special Issue seeks to showcase innovative computational approaches and intelligent technologies that will shape the future of data-driven physical and cognitive rehabilitation.
I look forward to receiving your valuable contributions.
You may choose our Joint Special Issue in BDCC.
Dr. Christian Tamantini
Ms. Rita Molle
Dr. Loredana Zollo
Dr. Andrea Tigrini
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access monthly 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 1800 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
- artificial intelligence
- big data
- rehabilitation robotics
- wearable sensors
- human–robot interaction
- digital health
- data fusion
- clinical decision support
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
