Artificial Intelligence and Machine Learning in Rehabilitation
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 73
Special Issue Editor
Interests: cognitive training; rehabilitation; brain engineering; digital therapeutics; brain imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and machine learning (ML) are revolutionizing the field of rehabilitation, offering unprecedented opportunities to enhance patient care, personalize treatment plans, and improve therapeutic outcomes. By leveraging vast datasets and sophisticated algorithms, these technologies enable the development of predictive models, automate complex tasks, and provide real-time feedback, thereby transforming traditional rehabilitation practices.
The integration of AI and ML in rehabilitation encompasses various applications, including the use of wearable technologies for continuous monitoring, deployment of rehabilitation robots for assisted therapy, and implementation of virtual reality systems for immersive rehabilitation experiences. These innovations facilitate more accurate assessments, adaptive interventions, and efficient resource utilization, ultimately contributing to better patient engagement and recovery.
Despite the promising advancements, challenges such as data privacy concerns, the need for large and diverse datasets, and the integration of AI-driven tools into existing clinical workflows remain. Addressing these issues requires interdisciplinary collaboration, rigorous validation studies, and the development of ethical guidelines to ensure the safe and effective use of AI and ML in rehabilitation.
This Special Issue aims to bring together researchers, clinicians, and practitioners to explore the latest developments, applications, and challenges in the integration of artificial intelligence and machine learning in rehabilitation. We invite original research articles, systematic reviews, and case studies that contribute to this evolving field.
Dr. Jin-Hyuck Park
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 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 in rehabilitation
- machine learning applications
- wearable technologies
- rehabilitation robotics
- predictive analytics
- personalized therapy
- virtual reality rehabilitation
- clinical decision support
- patient monitoring
- neurorehabilitation
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