This report highlights the critical position of ML and DL in revolutionizing the treatment of spinal injuries. These cutting-edge technologies are improving diagnostic approaches for evaluating vertebral fractures and significantly broadening the capability to predict fractures in both the short and long term. Their impact is particularly profound in enabling precise diagnoses and effectively distinguishing between non-cancerous and cancerous fractures. While less frequently explored, predictive studies deliver essential comprehension into the development of vertebral collapse and the treatment-related risk influences. With their advanced computational capabilities, these approaches perfectly address the intricate challenges associated with spinal injuries, paving the way for genuinely personalized care strategies. As these technologies evolve, they promise to substantially contribute to the medical administration and scientific acceptance of spinal injuries. Future studies in spinal fracture care must order developing and refining prognostic algorithms through ML to elevate pre-operative and post-operative patient care.