Machine Learning Nomogram Predicts Laparoscopic Surgery Difficulty

A novel machine learning-based nomogram accurately predicts the surgical difficulty of laparoscopic cholecystectomy in gallstone patients. By analyzing 362 cases, the model integrated critical clinical and inflammatory indicators, achieving an impressive AUC of 0.863 in the validation set. This predictive capability enhances surgical planning and optimizes patient outcomes, encouraging a shift toward data-driven decision-making in preoperative assessments.