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Review

Predictive Risk Stratification: Using Artificial Intelligence to Anticipate Surgical Complications

Subhas Gupta, MD, CM, PhD, FRCSC, FACS

Department of Plastic Surgery, Loma Linda University; The Plastic Surgery AI Group

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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