The effectiveness of artificial intelligence-based interventions on treatment outcomes for low back pain: A systematic review and meta-analysis of randomized controlled trials.

Abstract

BackgroundLow back pain is a global health challenge that requires constant progress to aid its management. Currently, artificial intelligence, as a major technological shift, has entered medicine to guide and improve management, and it is slowly being used for low back pain. With the growing number of studies, there is a lack of a summary of them.ObjectiveThe objective of this study is to investigate the effectiveness of artificial intelligence-based interventions in improving pain and functional outcomes among adults with low back pain when compared to standard interventions.MethodsA comprehensive search of PubMed, Scopus, and Web of Science was conducted. Intervention groups received artificial intelligence-based interventions, while control groups received standard interventions for low back pain. After data extraction, assessment of risk of bias was done, and then a meta-analysis was performed.ResultsFive studies met the inclusion criteria and were included in the systematic review, and four of them in the meta-analysis. Artificial intelligence-based interventions demonstrated lower pain scores (p = 0.001) and lower disability scores (p = 0.02) at endpoints than controls. Review of the studies revealed either significant or no improvement in the quality of recovery and psychological factors between the groups.ConclusionBased on the existing evidence, artificial intelligence-guided interventions, when compared to standard interventions, may improve pain and disability in adults with low back pain. But further research is necessary to establish its clinical relevance and future use.