Predictive Risk Stratification: Using Artificial Intelligence to Anticipate Surgical Complications
Department of Plastic Surgery, Loma Linda University; The Plastic Surgery AI Group
Abstract
Despite advances in technique, many surgical complications are still recognized only after they occur. Predictive risk stratification, using AI models to estimate individual patient risk before surgery, represents a fundamental shift toward proactive, personalized care. By combining clinical history, imaging, laboratory data, social determinants, and procedural variables, AI can generate individualized risk profiles that guide preoperative optimization, procedure selection, and resource planning.
Keywords
risk stratification, predictive modeling, preoperative optimization, shared decision-making, surgical outcomes
How to cite: Subhas Gupta, MD, CM, PhD, FRCSC, FACS. Predictive Risk Stratification: Using Artificial Intelligence to Anticipate Surgical Complications. Journal of Surgical Intelligence, Volume 1, Issue 1, April 2026. https://doi.org/10.67748/SINT6318