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.
| Mualliflar | KURBANIYAZOV Zafar Babajanovich, MUKHIDDINOV Bobur Khuroz Ugli, ASKAROV Pulat Azadovich |
|---|---|
| Jurnal | Journal of Biomedicine and Practice – Biomeditsina va amaliyot jurnali |
| Nashr sanasi | 2025-06-16 |
| Jild | 10 |
| Son | 2 |
| Til | Rus |
лапароскопическая хирургия, искусственный интеллект, ЖКБ, диагностика, планирование операций, минимально инвазивные методы, машинное обучение, компьютерное зрение, laparoscopic surgery, artificial intelligence, diagnosis, surgical planning, minimally invasive techniques, machine learning, computer vision, лапароскопик жарроҳлик, сунъий интеллект, УТК, ташхис, операцияларни режалаштириш, минимал инвазив усуллар, машинали таълим, компьютер кўриши
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