Millions worldwide experience Low Back Pain (LBP) at some point, impacting the health of well-being for a long duration. Those grappling with LBP may struggle to focus, hindering daily activities and work. A comprehensive clinical evaluation and rehabilitation for low back pain are essential for long-term functionality and overall well-being. Over the decades, algorithms of AI and ML (Artificial Intelligence and Machine Learning) have evolved significantly. The applications of artificial intelligence and machine learning extend to clinical diagnosis, disease forecasting, and categorization. Presently, AI has enhanced the management, prevention, and future outlook of LBP. Exploring current research patterns, we observe a growing focus on the utilization of AI/ML for the evaluation and recovery of LBP.

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A Comprehensive Review of AI-Based Low Back Pain Assessment and Rehabilitation

  • Manvendra Singh,
  • Chandan Kumar,
  • Md. Sarfaraj Alam Ansari,
  • Mahesh Chandra Govil

摘要

Millions worldwide experience Low Back Pain (LBP) at some point, impacting the health of well-being for a long duration. Those grappling with LBP may struggle to focus, hindering daily activities and work. A comprehensive clinical evaluation and rehabilitation for low back pain are essential for long-term functionality and overall well-being. Over the decades, algorithms of AI and ML (Artificial Intelligence and Machine Learning) have evolved significantly. The applications of artificial intelligence and machine learning extend to clinical diagnosis, disease forecasting, and categorization. Presently, AI has enhanced the management, prevention, and future outlook of LBP. Exploring current research patterns, we observe a growing focus on the utilization of AI/ML for the evaluation and recovery of LBP.