AI-Enhanced Biomechanics and Rehabilitation Engineering
A Special Issue of Bioengineering (ISSN 2306-5354) belonging to the section "Biosignal Processing".
Deadline for manuscript submissions: closed (31 October 2025) | Viewed by 1912
Editors
Interests: application of biomaterials; biomechanics; wear and fatigue related research in medical devices; mathematical modeling
Special Issues, Collections and Topics in MDPI journals
Interests: biomaterials; clinical engineering; biomedical devices; cardiovascular engineering; biomedical instrumentation; biomechanical engineering; biomedical modeling; biomedical technology
Special Issues, Collections and Topics in MDPI journals
Interests: advanced engineering materials; material property characterization and lifecycle assessment; biomechanics; biomedical engineering; bone biomechanics; mechanical testing; finite element modeling; biomedical devices
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
AI-enhanced biomechanics and rehabilitation Engineering involves the integration of artificial intelligence (AI) technologies into the field of biomechanics and rehabilitation engineering in order to enhance patient care and recovery. By utilizing AI algorithms and machine learning techniques, researchers and healthcare professionals are able to analyze large datasets of biomechanical and physiological information to develop personalized treatment plans and interventions for individuals with musculoskeletal injuries or disabilities.
This Special Issue will aim to explore innovative AI-driven solutions and their applications in the following areas:
- Optimizing biomechanical modeling and analysis;
- Enhancing the design and functionality of prosthetic devices;
- Improving rehabilitation technologies and therapeutic strategies;
- Personalizing rehabilitation protocols through predictive analytics and machine learning;
- Addressing challenges and ethical considerations in AI applications for rehabilitation engineering;
- AI predictive models for biomechanical behavior under different conditions, aiding in the simulation of complex biological systems and the prediction of injury risk.
Prof. Dr. Tarun Goswami
Dr. Anmar Salih
Dr. Farah Hamandi
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- biomechanics
- rehabilitation engineering
- machine learning
- predictive modeling
- prosthetic
- gait analysis, personalized healthcare
- biomechanical data analysis
- injury prevention
- fatigue detection
- custom orthopedic solutions
- biomechanical simulation
- biomechanical performance
- AI in biomechanical research
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