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Procedure-Specific Prediction of Surgical Difficulty in Laparoscopic and Robotic Right Hemicolectomy: Interpretable Machine Learning Models
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DOI:10.1016/j.ejso.2026.111997.png)
Abstract
En 中文
• Built procedure-specific, interpretable ML models for laparoscopic and robotic right hemicolectomy. • Used routine clinical and CT-derived metrics, including ileocolic perivascular adipose measures. • Achieved high validation AUCs (0.919 L-RHC; 0.901 R-RHC) and delivered web-based calculators.
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