Artificial intelligence, machine learning, and big data analytics are increasingly influencing the practice of spine care by enabling data-driven diagnosis, risk stratification, outcome prediction, and personalized treatment planning. Advances in computational methods, medical imaging analysis, and large-scale clinical data aggregation have expanded the capacity to manage complex spinal disorders with greater precision and consistency. This chapter introduces the foundational concepts, evolving applications, and clinical relevance of artificial intelligence and predictive analytics in spine care, outlining their potential benefits, limitations, and future implications for surgical decision-making and health system performance.