journal article·2025-02-03Open access

AI-Assisted Physiotherapy for Patients with Non-Specific Low Back Pain: A Systematic Review and Meta-Analysis

Dev Kapil, Jin Wang, David B. Olawade, Laura Vanderbloemen

Applied Sciences· Volume 15· Issue 3

Abstract

Background: Non-specific low back pain (LBP) is a widespread condition with significant impacts on physical activity, muscle strength, psychological well-being, and economic status. Traditional physiotherapy shows variable efficacy, prompting growing interest in AI-assisted physiotherapy for its potential to offer personalized feedback and multidisciplinary care integration. Objective: This systematic review and meta-analysis aimed to evaluate AI-assisted physiotherapy’s effectiveness in reducing pain intensity and functional impairment and improving mental health compared to usual physiotherapy. Method: A comprehensive search strategy was employed across Embase, MEDLINE, Cochrane Library, and Web of Science databases from inception to 30 May 2024. Comparative studies were identified and screened using PICOS criteria. Data extraction involved detailed study characteristics and outcomes, with methodological quality assessed via the Cochrane Risk of Bias tool. Meta-analyses using random-effects models calculated standardized mean differences (SMDs). Results: Eight studies met the inclusion criteria. Compared to usual physiotherapy, AI-assisted physiotherapy did not demonstrate any statistically significant differences in outcomes across the aspects studied, including pain intensity (SMD = −0.2711, 95% CI: −0.5109 to −0.0313, p = 0.267), functional impairment (SMD = −0.2508, 95% CI: −0.5574 to 0.0559, p = 0.1089), and mental health (SMD = −0.0328, 95% CI: −0.1972 to 0.1316, p = 0.6956). These findings indicate that AI-assisted physiotherapy had no demonstrable additional effect compared to usual physiotherapy for patients with LBP. Sensitivity analyses were conducted to address inter-study heterogeneity, confirming the robustness of these results. Conclusions: While AI-assisted physiotherapy shows potential in managing LBP by providing personalized treatment and feedback, the current evidence does not demonstrate significant advantages over usual physiotherapy. Further large-scale, long-term, and methodologically rigorous randomized controlled trials are necessary to validate these findings, assess their clinical relevance, and explore broader public health applications.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Musculoskeletal pain and rehabilitation · Fibromyalgia and Chronic Fatigue Syndrome Research · Myofascial pain diagnosis and treatment

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Primary Care and Public Health, Imperial College London, London W12 0BZ, UK

School of Health, Sport and Bioscience, University of East London, London E16 2RD, UK

Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London E16 2RD, UK

Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, Kent ME7 5NY, UK

Department of Public Health, York St John University, London E14 2BA, UK

School of Health and Care Management, Arden University, Arden House, Middlemarch Park, Coventry CV3 4FJ, UK

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