AI-Driven Rehabilitation Robots: Enhancing Physical Therapy for Stroke and Injury Recovery DOI
Zeynep Baysal

Next frontier., Год журнала: 2024, Номер 8(1), С. 155 - 155

Опубликована: Ноя. 25, 2024

AI-driven rehabilitation robots are transforming physical therapy by providing personalized, precise, and adaptive support for patients recovering from strokes injuries. This research explores the integration of Artificial Intelligence (AI) into robotic systems to enhance outcomes, focusing on key areas such as motor skill recovery, real-time performance tracking, patient engagement. Utilizing machine learning algorithms biomechanical data, these can tailor sessions individual needs, dynamically adjusting resistance, movement patterns, feedback. Advanced sensor technology enables monitor progress, ensuring accurate assessments interventions. study also examines role AI in promoting neuroplasticity through repetitive, task-specific training, a critical component stroke recovery. Ethical considerations, including data privacy accessibility, analyzed address barriers widespread adoption. By bridging robotics, AI, clinical practice, this highlights potential revolutionize therapy, offering scalable effective solutions that improve recovery rates quality care.

Язык: Английский

AI-Driven Rehabilitation Robots: Enhancing Physical Therapy for Stroke and Injury Recovery DOI
Zeynep Baysal

Next frontier., Год журнала: 2024, Номер 8(1), С. 155 - 155

Опубликована: Ноя. 25, 2024

AI-driven rehabilitation robots are transforming physical therapy by providing personalized, precise, and adaptive support for patients recovering from strokes injuries. This research explores the integration of Artificial Intelligence (AI) into robotic systems to enhance outcomes, focusing on key areas such as motor skill recovery, real-time performance tracking, patient engagement. Utilizing machine learning algorithms biomechanical data, these can tailor sessions individual needs, dynamically adjusting resistance, movement patterns, feedback. Advanced sensor technology enables monitor progress, ensuring accurate assessments interventions. study also examines role AI in promoting neuroplasticity through repetitive, task-specific training, a critical component stroke recovery. Ethical considerations, including data privacy accessibility, analyzed address barriers widespread adoption. By bridging robotics, AI, clinical practice, this highlights potential revolutionize therapy, offering scalable effective solutions that improve recovery rates quality care.

Язык: Английский

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