EVALUATION OF THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE IN LAPAROSCOPIC CHOLECYSTECTOMY
Keywords:
laparoscopic surgery, artificial intelligence, diagnosis, surgical planning, minimally invasive techniques, machine learning, computer visionAbstract
This article discusses the application of artificial intelligence (AI) in laparoscopic surgery and transplantation with the aim of improving diagnostic accuracy, enhancing surgical planning, and optimizing the training process for medical professionals. Particular attention is given to the treatment of choledocholithiasis, characterized by the presence of stones in the common bile duct, which represents a significant clinical challenge. Special focus is placed on the use of machine learning algorithms and computer vision for the automatic recognition of anatomical structures and prediction of complications. The study results demonstrate the significant potential of AI in improving the accuracy and safety of laparoscopic procedures.
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