Technological innovation has always driven surgical progress, and AI now represents the next transformative wave. Machine learning models are now being developed to predict surgical risks, assist in diagnosing rare congenital disorders, analyze imaging data, and anticipate postoperative complications. Risk prediction tools have already shifted from traditional statistical methods to more complex machine learning approaches, improving their ability to account for nonlinear interactions.