| CLINICAL EFFICACY OF AI-BASED EXERCISE THERAPIES IN PATIENTS WITH LOW BACK PAIN: A SYSTEMATIC REVIEW OF RANDOMIZED CONTROLLED TRIAL EVIDENCE |
| Paper ID : 1555-SPORTCONGRESS |
| Authors |
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Shafe Abbasi *1, Roghaye lotfi Esfahanjagh2, Farideh Babakhani3 1M.Sc. Student in Sports Injury and Corrective Exercises (Specializing in Corrective Training), Faculty of Sport Sciences, Allameh Tabataba’i University, Tehran, Iran. 2Department of Sports Pathology and Corrective Exercises, Faculty of Sport and Health Sciences, Shahid Beheshti University, Tehran, Iran 3Department of Sports Pathology and Corrective Exercises, Faculty of Physical Education and Sport Sciences, Allameh Tabatabaei University, Tehran, Iran |
| Abstract |
| Abstract Introduction: Low back pain is one of the most common musculoskeletal disorders worldwide(1), causing functional limitations, reduced quality of life, and substantial economic burden on healthcare systems(2). With advances in modern technologies, particularly artificial intelligence, it has become possible to design and implement intelligent, personalized exercise therapy programs(3, 4). This study aimed to systematically review the existing evidence on the clinical effectiveness of AI-based exercise therapy in patients with low back pain. Methods: This study was conducted as a systematic review following the PRISMA guidelines. A comprehensive search was performed in the PubMed and Scopus databases for articles published between 2020 and 2025. The main keywords used were Artificial Intelligence, Exercise Therapy, Low Back Pain, and Randomized Controlled Trial. Only randomized controlled trials (RCTs) were included in the review. Ultimately, out of 1,697 identified records, five studies met the inclusion criteria and were subjected to qualitative analysis Results: The review indicated that AI-based exercise therapy reduces pain, improves physical function, enhances patient adherence to exercise programs, and increases satisfaction compared with traditional methods. Most studies reported the use of machine learning algorithms to automatically adjust exercise intensity and provide real-time feedback, and AI interventions generally showed greater improvements in pain and disability (ODI) than conventional treatments. Conclusion: The findings suggest that integrating artificial intelligence with exercise therapy can serve as an innovative and effective approach for managing low back pain. This technology, by enabling personalized exercise programs, monitoring patient progress, and enhancing patient-therapist interaction, can improve treatment outcomes. However, larger-scale trials with extended follow-up are needed to confirm the durability of these results. |
| Keywords |
| Keywords: Low Back Pain, Exercise Therapy, Artificial Intelligence |
| Status: Abstract Accepted (Poster Presentation) |
