Artificial Intelligence and Machine Learning in Rehabilitation

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

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