Artificial intelligence (AI) is increasingly influencing spinal imaging by providing automated, precise, and reproducible analysis that supports spine surgical practice. AI techniques like advanced machine learning and deep learning algorithms enable accurate identification and characterization of spinal pathology across radiographs, computed tomography, and magnetic resonance imaging. AI-based image evaluation assists surgeons in diagnosing degenerative disease, deformity, trauma, and tumors while reducing interobserver variability. These tools possess the potential to enhance preoperative planning, facilitate appropriate level selection and instrumentation strategies, and support postoperative outcome assessment. Integration of AI into spinal imaging workflows has the potential to improve surgical decision-making and optimize patient-specific management.