Lumbar disc herniation (LDH) is a highly prevalent disease and a common cause of sensory-motor disorders of the lower extremities in adults. Most of the current research on LDH is traditional, but with the advent of the era of artificial intelligence, Machine learning (ML) is gradually taking the historical stage. ML can use computers to "learn" complex relationships from big data and generate models that link a large number of covariates to the target variable of interest, including but not limited to lesion detection and classification, automatic image segmentation, data analysis, radiological feature extraction, priority reporting and study classification, and image reconstruction. ML has reached a considerable level of ability to process data. This paper reviews ML research in LDH.