Pakistan: Researchers have found in a new study that machine learning models show strong promise in predicting postoperative complications after laparoscopic cholecystectomy and in accounting for intraoperative and perioperative factors that affect patient safety and recovery. However, more research with larger, diverse patient groups is required to validate their clinical reliability.

A new systematic review published in BMC Surgery highlights how emerging machine learning (ML) technologies could transform the way clinicians anticipate complications associated with laparoscopic cholecystectomy (LC) —one of the most commonly performed abdominal surgeries worldwide. The analysis, conducted by Rooma Rehan from Dow Medical College, Karachi, and colleagues, pulls together the availabl

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