Machine learning analysis on robotic ventral hernia repair data revealed that intraoperative surgeon performance indicators significantly influence postoperative complications. Evaluating 520 patients, the study achieved high predictive accuracy (0.95) for complications using various algorithms. Notably, 6.3% experienced complications at discharge, emphasizing the interplay between surgical techniques and patient-specific factors. The findings pave the way for optimizing surgical outcomes through enhanced performance monitoring in robotic procedures.
Journal Article by Shin TH, Fanta A (…) Kudsi OY et 5 al. in BJS Open
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