In the realm of adult spinal deformity, achieving a perfect correction is paramount for minimizing post-operative complications and ensuring long-term spinal stability. However, the execution of optimal correction plans is often impeded by discrepancies in pre-operative imaging and imprecision during intraoperative rod bending. To address these challenges, the integration of advanced imaging processing and augmented reality (AR) technology emerges as a promising solution to align surgical intention with clinical execution. The objectives are two-fold: Firstly, to develop software that correlates pre-operative standing XR films and supine CT scan segmentation data to predict optimal spinal alignment. Secondly, to create AR software capable of translating optimized correction plans into a visual representation during the intraoperative rod bending process. Given the significant impact of correction degree on long-segment fusion outcomes in adult spinal deformity patients, enhancing pre-operative surgical plans and refining rod bending techniques are pivotal endeavors. Leveraging emerging technologies holds immense potential in optimizing neurosurgical deformity correction and ultimately improving patient outcomes.