Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain
Background: Low back pain (LBP) is a common cause of disability in the United States and contributes to a great economic burden on both the individual and healthcare system level. Previous studies have investigated home-based therapy as an alternative or supplement to clinical care. In a previous st...
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Elsevier
2025-08-01
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| Series: | Journal of Orthopaedic Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773157X2500044X |
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| author | Kenan Alzouhayli Nathan D. Schilaty Takashi Nagai Luca Rigamonti April L. McPherson Benjamin Holmes Nathaniel A. Bates |
| author_facet | Kenan Alzouhayli Nathan D. Schilaty Takashi Nagai Luca Rigamonti April L. McPherson Benjamin Holmes Nathaniel A. Bates |
| author_sort | Kenan Alzouhayli |
| collection | DOAJ |
| description | Background: Low back pain (LBP) is a common cause of disability in the United States and contributes to a great economic burden on both the individual and healthcare system level. Previous studies have investigated home-based therapy as an alternative or supplement to clinical care. In a previous study, we found comparable positive outcomes in patients who use an artificial-intelligence (AI) device to manage LBP in both home and clinical settings. In this study, we plan to compare long-term outcomes throughout 1-year post-intervention. Methods: This is a randomized clinical trial of 52 subjects. The investigation compared outcomes in LBP patients who used AI-device resistance therapy in either clinical or home settings. Outcomes of interest were pain, functional status, and kinesiophobia. Results: Group (Home vs. Clinic) was significantly associated with all three PRO parameters (PROMIS PI, PROMIS PF, and TSK scores) (P < 0.007). Home subjects, on average, had lower PROMIS PI and TSK scores (P < 0.007) and higher PROMIS PF scores (P < 0.0001); however, these differences were clinically insignificant. Time and the interaction of Time∗Group were not significant factors that affected PRO scores (P > 0.66). Conclusion: Patients who used AI-resistance training in either home or clinical settings had similar improvement by the end of the intervention and maintained this similarity throughout 1 year of follow-up. AI-resistance training has the potential to be a cost-effective supplement to clinical therapy when managing LBP. Irb approval number: 20-007281. |
| format | Article |
| id | doaj-art-9b54927e5c274b6ab392ae2d07adcae3 |
| institution | Kabale University |
| issn | 2773-157X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Orthopaedic Reports |
| spelling | doaj-art-9b54927e5c274b6ab392ae2d07adcae32025-08-26T04:14:42ZengElsevierJournal of Orthopaedic Reports2773-157X2025-08-014210059210.1016/j.jorep.2025.100592Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back painKenan Alzouhayli0Nathan D. Schilaty1Takashi Nagai2Luca Rigamonti3April L. McPherson4Benjamin Holmes5Nathaniel A. Bates6Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, USADepartment of Neurosurgery & Brain Repair, University of South Florida, Tampa, FL, USA; Center for Neuromusculoskeletal Research, University of South Florida, Tampa, FL, USAUnited States Army Research Institute of Environmental Medicine, Natick, MA, USADepartment of Orthopedic Surgery, Policlinico San Pietro, Ponte San Pietro, ItalyDepartment of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Sports Performance and Research Center, Emory University, Atlanta, GA, USASpine Center, Mayo Clinic, Rochester, MN, USADepartment of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Division of Sports Medicine, Mayo Clinic, Rochester, MN, USA; Corresponding author. 265 W 11th Ave, Columbus, OH, 43201, USA.Background: Low back pain (LBP) is a common cause of disability in the United States and contributes to a great economic burden on both the individual and healthcare system level. Previous studies have investigated home-based therapy as an alternative or supplement to clinical care. In a previous study, we found comparable positive outcomes in patients who use an artificial-intelligence (AI) device to manage LBP in both home and clinical settings. In this study, we plan to compare long-term outcomes throughout 1-year post-intervention. Methods: This is a randomized clinical trial of 52 subjects. The investigation compared outcomes in LBP patients who used AI-device resistance therapy in either clinical or home settings. Outcomes of interest were pain, functional status, and kinesiophobia. Results: Group (Home vs. Clinic) was significantly associated with all three PRO parameters (PROMIS PI, PROMIS PF, and TSK scores) (P < 0.007). Home subjects, on average, had lower PROMIS PI and TSK scores (P < 0.007) and higher PROMIS PF scores (P < 0.0001); however, these differences were clinically insignificant. Time and the interaction of Time∗Group were not significant factors that affected PRO scores (P > 0.66). Conclusion: Patients who used AI-resistance training in either home or clinical settings had similar improvement by the end of the intervention and maintained this similarity throughout 1 year of follow-up. AI-resistance training has the potential to be a cost-effective supplement to clinical therapy when managing LBP. Irb approval number: 20-007281.http://www.sciencedirect.com/science/article/pii/S2773157X2500044XLow back painArtificial intelligenceBiomechanicsExercise therapyLongitudinal |
| spellingShingle | Kenan Alzouhayli Nathan D. Schilaty Takashi Nagai Luca Rigamonti April L. McPherson Benjamin Holmes Nathaniel A. Bates Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain Journal of Orthopaedic Reports Low back pain Artificial intelligence Biomechanics Exercise therapy Longitudinal |
| title | Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain |
| title_full | Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain |
| title_fullStr | Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain |
| title_full_unstemmed | Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain |
| title_short | Artificial intelligence-guided therapy: Clinic versus home users. Long-term differences in patient-reported outcomes in patients with low back pain |
| title_sort | artificial intelligence guided therapy clinic versus home users long term differences in patient reported outcomes in patients with low back pain |
| topic | Low back pain Artificial intelligence Biomechanics Exercise therapy Longitudinal |
| url | http://www.sciencedirect.com/science/article/pii/S2773157X2500044X |
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