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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.
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Subhas Gupta (2026) studied this question.
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