MODELING OF ENDOVIDEOLAPAROSCOPIC ACCESS DURING CHOLECYSTECTOMY USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Таджибаев, Ш, Абдурашидов, Ф, Саминжонов, Х, Tadjibaev, Sh, Abdurashidov, F, Saminjonov, X, Tadjibaev, Sh, Abdurashidov, F, Saminjonov, Kh

Тиббиёт ва спорт · 2026-yil

Annotatsiya

The study analyzed data from J 76 patients using multislice computed tomography and the “MedScan Al” software package based on convolutional neural networks. The system provided automatic segmentation of the gallbladder, determination of its angular orientation, and virtual modeling of optimal trocar placement.

Maqola ma’lumotlari
MualliflarТаджибаев, Ш, Абдурашидов, Ф, Саминжонов, Х, Tadjibaev, Sh, Abdurashidov, F, Saminjonov, X, Tadjibaev, Sh, Abdurashidov, F, Saminjonov, Kh
JurnalТиббиёт ва спорт
Nashr sanasi2026-06-08
Son1
Betlar136-140
TilRus

Kalit so‘zlar

лапароскопическая холецистэктомия, искусственный интеллект, эндовидеолапародоступ, MedScan AI, моделирование, троакары, laparoscopic cholecystectomy, artificial intelligence, endovideolaparoscopic access, MedScan AI, modeling, trocars, laparoskopik xoletsistektomiya, sun’iy intellekt, endovideolaparodostup, MedScan AI, modellashtirish, troakarlar

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