Background Context: Low back pain (LBP) remains the leading cause of disability globally. In recent years, machine learning (ML) has emerged as a potentially useful tool to aid the diagnosis, management, and prognostication of LBP.
Purpose: In this review, we assess the scope of ML applications in the LBP literature and outline gaps and opportunities.