Evaluating the effectiveness of six exercise interventions for low back pain
Published in BMC Musculoskeletal Disorders on May 1, 2025. This study validated the effectiveness of six exercise therapies in treating low back pain using meta-analysis methods. It found that yoga had the largest effect, with optimal exercise intervention protocols involving exercise duration not exceeding 30 minutes per session, frequency of more than 4 times per week, and cycle not exceeding 4 weeks.
Key Findings:
• Scope of Review: The review included 25 articles that met the inclusion criteria, focusing on the application of DSS to support the prevention and/or management of LBP due to lumbar degenerative diseases.
• AI Algorithms: Various machine learning and deep learning algorithms were employed in the studies, assessing their predictive ability on clinical, demographic, psychosocial, and imaging data.
• Tasks and Accuracy: The included studies mainly encompassed three tasks: clinical score definition, clinical assessment, and eligibility prediction. The AI-based DSS applications showed high accuracy, with area under the curve (AUC) scores of 0.93, 0.99, and 0.95, respectively.
• Clinical Impact: The findings highlight the potential of AI-based DSS to improve clinical decision-making and patient outcomes in the management of lumbar degenerative spine disorders.
Conclusion:
The review concludes that AI-based DSS applications demonstrate a high degree of accuracy in performing various clinical tasks related to the prevention and management of LBP. These findings lay the foundation for further research to enhance the understanding and adoption of AI in clinical decision-making.
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