This review article discusses the modern use of artificial intelligence (Al) in minimally invasive surgery for gallstone disease. It highlights Al's potential in diagnostics, complication prediction, and surgical decision-making during laparoscopic cholecystectomy. Machine learning and computer vision algorithms play a key role in anatomical structure recognition and reducing conversion risks. The article emphasizes the prospects of Al integration into clinical practice to enhance surgical safety and efficiency.
| Mualliflar | Таджибаев, Ш, Абдурашидов, Ф, Саминжонов, Х, Tadjibaev, Sh, Abdurashidov, F, Saminjonov, X, Tadjibaev, Sh, Abdurashidov, F, Saminjonov, Kh |
|---|---|
| Jurnal | Тиббиёт ва спорт |
| Nashr sanasi | 2026-05-09 |
| Son | 4 |
| Betlar | 81-84 |
| Til | Rus |
искусственный интеллект, лапароскопическая холецистэктомия, минимально инвазивная хирургия, холелитиаз, робот-ассистированные технологии, компьютерное зрение, прогнозирование осложнений, конверсия, artificial intelligence, laparoscopic cholecystectomy, minimally invasive surgery, cholelithiasis, robot-assisted technologies, computer vision, complication prediction, conversion., sun’iy intellekt, laparoskopik xoletsistektomiya, minimal invaziv jarrohlik, xo‘l tosh kasalligi, robotlashtirilgan texnologiyalar, kompyuter ko‘rish, asoratlarni bashorat qilish, konversiya
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