Machine learning (ML) is revolutionizing laparoscopic surgery by enhancing precision, decision-making, and surgical outcomes. AI-driven algorithms analyze vast amounts of surgical data, aiding in intraoperative navigation, real-time tissue recognition, and complication prediction. Deep learning models assist in identifying anatomical structures, optimizing port placement, and even automating certain surgical steps, thereby reducing human error. ML-powered robotic-assisted laparoscopy improves dexterity, offering haptic feedback and predictive analytics for better surgeon control.
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