Artificial Intelligence in the Management of Low Back Pain

REVIEW
Dafina Milaj Cacaj, Xhorxhina Peshku Alushaj

 
For citation: Cacaj DM, Alushaj XP. Artificial Intelligence in the Management of Low Back Pain. International Journal of Biomedicine. 2025;15(3):452-456. doi:10.21103/Article15(3)_RA3
 
Originally published September 5, 2025

Abstract: 

Background: The last decade has witnessed a technological revolution driven mainly by the development of artificial intelligence (AI), a technology designed to replicate human thinking and behavior. AI has significantly penetrated almost all professional fields, including the medical sciences. The study aimed to review the literature data on the application of AI in the management of low back pain (LBP).
Methods and Results: This study summarizes relevant data from PubMed, Google Scholar, and Scopus, published between 2000 and 2023. Only studies published in English were considered. AI showed great promise in improving the accuracy of LBP diagnosis, optimizing treatment approaches, and predicting clinical outcomes. AI has facilitated the development of personalized self-management programs and real-time symptom monitoring. AI models have outperformed traditional statistical methods in predicting long-term pain and functional recovery.
Conclusion: Although current data suggest a promising role of AI in managing LBP, ongoing research will be crucial to determine its clinical utility and broader integration into everyday clinical practice.

Keywords: 
machine learning • LBP therapy •predicting clinical outcomes
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Received May 29, 2025.
Accepted July 12, 2025.
©2025 International Medical Research and Development Corporation.