Volume 20, Issue 1 (Paramedical Sciences and Military Health 2025)
Paramedical Sciences and Military Health 2025, 20(1): 71-82 |
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Granfar M, Mousavi A S, Siahsar M, Mousavi Baigi S F. Effectiveness of Artificial Intelligence and Robotic-Based Interventions in Improving Motor Function and Physical Activity in Patients with Parkinson’s disease: A Systematic Review. Paramedical Sciences and Military Health 2025; 20 (1) :71-82
URL: http://jps.ajaums.ac.ir/article-1-453-en.html
URL: http://jps.ajaums.ac.ir/article-1-453-en.html
1- Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran , mgranfar72@gmail.com
2- Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
3- Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran. & Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
2- Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
3- Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran. & Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract: (56 Views)
Introduction: Artificial Intelligence (AI) and robotic-based rehabilitation are promising approaches to address motor deficits and physical inactivity in Parkinson’s disease (PD), offering personalized interventions to enhance functional independence and quality of life. This systematic review aims to synthesize evidence on the effectiveness of AI and robotic interventions in improving motor function, balance, and physical activity in PD patients.
Materials and Methods: We conducted a comprehensive systematic review of randomized controlled trials (RCTs) without time restrictions. Searches spanned Embase, Web of Science, Scopus, and PubMed up to November 7, 2024, using keywords related to AI, robotics, Parkinson’s disease, and rehabilitation. Studies were appraised for quality using the Joanna Briggs Institute checklist. The review followed PRISMA guidelines to ensure methodological rigor.
Results: Out of 10,012 identified articles, 31 met inclusion criteria, with 4 RCTs included in the final synthesis, encompassing [insert total participant number if known]. AI and robotic interventions were associated with significant improvements: an 18% increase in endurance (6MWT), 20% reduction in freezing of gait (FOG), and enhanced balance measured by Mini-BEST and Berg Balance Scale (25% and 15% improvements, respectively). Gait velocity improved markedly in robotic groups (0.8 m/s to 1.2 m/s), surpassing conventional therapies. Despite heterogeneity in intervention types and participant profiles, 75% of studies demonstrated significant motor improvements. The overall quality of included studies was moderate to high.
Conclusion: AI and robotics-based rehabilitation show meaningful benefits in motor function, balance, and physical activity among PD patients, highlighting their potential as safe and adaptable therapeutic tools. Further large-scale, standardized studies with long-term follow-up are necessary to confirm these findings and enhance clinical applicability.
Materials and Methods: We conducted a comprehensive systematic review of randomized controlled trials (RCTs) without time restrictions. Searches spanned Embase, Web of Science, Scopus, and PubMed up to November 7, 2024, using keywords related to AI, robotics, Parkinson’s disease, and rehabilitation. Studies were appraised for quality using the Joanna Briggs Institute checklist. The review followed PRISMA guidelines to ensure methodological rigor.
Results: Out of 10,012 identified articles, 31 met inclusion criteria, with 4 RCTs included in the final synthesis, encompassing [insert total participant number if known]. AI and robotic interventions were associated with significant improvements: an 18% increase in endurance (6MWT), 20% reduction in freezing of gait (FOG), and enhanced balance measured by Mini-BEST and Berg Balance Scale (25% and 15% improvements, respectively). Gait velocity improved markedly in robotic groups (0.8 m/s to 1.2 m/s), surpassing conventional therapies. Despite heterogeneity in intervention types and participant profiles, 75% of studies demonstrated significant motor improvements. The overall quality of included studies was moderate to high.
Conclusion: AI and robotics-based rehabilitation show meaningful benefits in motor function, balance, and physical activity among PD patients, highlighting their potential as safe and adaptable therapeutic tools. Further large-scale, standardized studies with long-term follow-up are necessary to confirm these findings and enhance clinical applicability.
Keywords: Systematic Review, Artificial Intelligence, Robotics, Rehabilitation, Physical Activity, Motor Function, Parkinson’s Disease.
Type of Study: review |
Subject:
full articles
Received: 2025/01/11 | Accepted: 2025/02/8 | Published: 2025/03/30
Received: 2025/01/11 | Accepted: 2025/02/8 | Published: 2025/03/30
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