Artificial Intelligence in Predicting Risks of Surgical Interventions in Patients with Liver Cirrhosis

Aim: to develop neural network predictive model for the risk of postoperative complications and mortality in patients with liver cirrhosis undergoing minimally invasive surgical interventions.Material and methods. Surgical interventions were performed on 90 patients with liver cirrhosis to correct c...

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Bibliografski detalji

Glavni autori:	N. V. Korochanskaya, V. M. Durleshter, M. A. Basenko, D. S. Murashko, A. A. Khalafyan
Format:	Artigo
Jezik:	Russo
Izdano:	Gastro LLC 2026-02-01
Serija:	Российский журнал гастроэнтерологии, гепатологии, колопроктологии
Teme:	цирроз печени прогностические модели малоинвазивные хирургические вмешательства
Online pristup:	https://www.gastro-j.ru/jour/article/view/1813
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