This chapter examines the biomechanics of the spine, emphasizing its critical role in supporting and stabilizing the human body while enabling mobility. It details the distribution of forces such as compression, tensile, and shear, exploring how these forces impact spinal integrity and stability. Disruptions in these forces contribute to pathologies affecting quality of life. Advances in imaging, such as CT and MRI combined with segmentation, have enhanced the understanding of spinal geometry and mechanics, aiding in precise diagnostics and surgical planning. The mechanical properties of the spine’s components—bones, intervertebral discs, and ligaments—are essential for maintaining stability. Techniques such as MRI elastography and CT bone density assessments are crucial for evaluating tissue stiffness and bone strength. Transfer laws that translate imaging data into mechanical properties play a pivotal role in predictive modeling. In vitro testing, including cadaveric studies and robotic simulations, provides critical data on spinal load distribution and validates finite element models (FEM). Patient-specific FEM simulations, supported by artificial intelligence (AI), offer insights into spinal responses under various conditions, aiding in preoperative planning and implant design. AI enhances these models by processing extensive data, refining predictions, and personalizing treatment strategies. The chapter concludes by emphasizing the future of spinal biomechanics, marked by the integration of AI, advanced imaging, and personalized medicine. This combination fosters better diagnostics, more precise surgical outcomes, and patient-specific care. The advancements in this field aim to improve surgical results and postoperative recovery, offering hope for enhanced patient quality of life through tailored treatment approaches.