“The Role of Artificial Intelligence in Predicting Surgical Outcomes for Complex Spinal Deformities,” explores how AI-driven predictive models can enhance preoperative planning and patient management in spinal surgery. Published in the Journal of the Neurological Sciences, the study highlights combining machine learning, imaging analysis, and big data to improve surgical decision-making, patient selection, and postoperative prognosis. The research demonstrates how AI can predict pain levels, functional recovery, and complications with greater accuracy than traditional methods. While AI models show promise in improving surgical outcomes, challenges such as data bias, ethical concerns, and clinical validation remain. The study underscores AI’s potential to revolutionize spinal surgery by increasing precision, reducing complications, and personalizing treatment strategies for patients with complex spinal deformities.