A newly developed deep learning system effectively identifies extrahepatic bile ducts in real-time during laparoscopic cholecystectomy. Trained on 3,993 images, the YoloV7 model achieved a mean average precision of 0.846 overall, with specific accuracies of 94.39% for the common bile duct and 84.97% for the cystic duct during video clip validations. By optimizing these crucial identifications, the model aims to significantly reduce the risk of bile duct injuries in surgical procedures.
Journal Article by Yin SM, Lien JJ and Chiu IM in BJS Open
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