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

被引:1
作者
Kapil, Dev [1 ,2 ]
Wang, Jin [1 ]
Olawade, David B. [3 ,4 ,5 ,6 ]
Vanderbloemen, Laura [1 ,2 ]
机构
[1] Imperial Coll London, Dept Primary Care & Publ Hlth, London W12 0BZ, England
[2] Univ East London, Sch Hlth Sport & Biosci, London E16 2RD, England
[3] Univ East London, Sch Hlth Sport & Biosci, Dept Allied & Publ Hlth, London E16 2RD, England
[4] Medway NHS Fdn Trust, Dept Res & Innovat, Gillingham ME7 5NY, Kent, England
[5] York St John Univ, Dept Publ Hlth, London E14 2BA, England
[6] Arden Univ, Sch Hlth & Care Management, Arden House,Middlemarch Pk, Coventry CV3 4FJ, England
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 03期
关键词
low back pain; AI-assisted physiotherapy; meta-analysis; pain management; functional impairment; DIAGNOSIS;
D O I
10.3390/app15031532
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
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页数:18
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