Physical Therapy and Rehabilitation: AI-Driven and Digital Innovations (Second Edition)
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 227
Special Issue Editors
Interests: exercise; electromyography; gait analysis; posture; biomechanics
Special Issues, Collections and Topics in MDPI journals
Interests: physical therapy; biomechanics; exercise; healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Physical therapy and rehabilitation are undergoing rapid transformation driven by advances in digital health, artificial intelligence (AI), wearable sensing technologies, and data-driven clinical decision-making. This Special Issue aims to explore the convergence of engineering, intelligent systems, and evidence-based therapeutic practice.
We welcome high-quality research integrating AI, machine learning, digital biomarkers, wearable inertial sensing, telerehabilitation platforms, robotics, and immersive virtual or augmented reality systems into rehabilitation science. Studies that enhance balance control, fall prevention, motor recovery, functional performance, and personalized treatment planning through objective data and predictive analytics are particularly encouraged.
At the same time, we highly encourage submissions investigating traditional therapeutic exercise and clinical rehabilitation approaches, especially when supported by quantitative assessments or innovative methodological design.
By bridging intelligent engineering solutions with conventional rehabilitation principles, this Special Issue aims to advance precision rehabilitation and improve patient-centered outcomes.
Prof. Dr. Seong-Gil Kim
Dr. Jin-Seop Kim
Guest Editors
Manuscript Submission Information
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Keywords
- physical therapy
- rehabilitation
- digital health
- artificial intelligence (AI)
- wearable sensing technologies
- data-driven clinical decision-making
- machine learning
- digital biomarkers
- telerehabilitation platforms
- robotics
- immersive virtual or augmented reality systems
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