Zobrazeno 1 - 10
of 457
pro vyhledávání: '"A. A. Ivkin"'
Autor:
A. A. Ivkin, E. V. Grigoriev
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 21, Iss 2, Pp 122-130 (2024)
The problem of cerebral protection in cardiac surgery is relevant, despite all the techniques used. Due to its properties, ketamine can occupy its niche in solving this problem. The article analyzes current literature sources and describes the use of
Externí odkaz:
https://doaj.org/article/c40f2d623b354812b6bc9e5d69ade844
Publikováno v:
Общая реаниматология, Vol 20, Iss 1, Pp 37-42 (2024)
Up to 57% of patients develop postoperative delirium after surgery for congenital heart defects (CHD). To reduce cerebral damage in pediatric patients during CHD surgery it is important to find out what inflicts the worse damage: would it be a system
Externí odkaz:
https://doaj.org/article/e5c2081adce34a89b39a18522d2da67d
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 20, Iss 6, Pp 106-115 (2023)
Acute kidney injury (AKI) associated with cardiac surgery in children is one of the most frequent complications of the postoperative period appearing due to various perioperative factors. Generally accepted criteria for the diagnosis of AKI, on the o
Externí odkaz:
https://doaj.org/article/c11de4febf9a4417b14fc9614da68c00
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 20, Iss 1, Pp 89-96 (2023)
The analysis of the literature in the main search scientific systems was carried out to identify the current means of cerebroprotection. The assessment is given both to the familiar methods that have become «traditional» for cardiac surgery (hypoth
Externí odkaz:
https://doaj.org/article/c892a19dc92b448ab4fd61b350462c27
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 19, Iss 5, Pp 93-101 (2022)
Cardiac surgery associated acute kidney injury (CSA-AKI) is a common complication of cardiac surgery resulting from the patient's exposure to a complex combination of factors in the perioperative period. Current diagnostic criteria for AKI may undere
Externí odkaz:
https://doaj.org/article/7b83257d4e944e1b95cfac10754e3779
Publikováno v:
Общая реаниматология, Vol 18, Iss 3, Pp 30-37 (2022)
Various pathological factors accompanying any cardiac surgery can cause intraoperative systemic inflammatory responses (SIR). As the number of cardiac surgical interventions grows worldwide, the issue of SIR prevention appears highly relevant.Aim of
Externí odkaz:
https://doaj.org/article/306ef525d50b4201a8b8f7f4afd6245a
Autor:
Li, Minghao, Avdiukhin, Dmitrii, Shahout, Rana, Ivkin, Nikita, Braverman, Vladimir, Yu, Minlan
Federated Learning (FL) enables deep learning model training across edge devices and protects user privacy by retaining raw data locally. Data heterogeneity in client distributions slows model convergence and leads to plateauing with reduced precisio
Externí odkaz:
http://arxiv.org/abs/2411.01580
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 18, Iss 2, Pp 62-68 (2021)
The objective: to establish the prevalence of postoperative delirium (POD) and the influence of various factors in intra- and postoperative periods on its occurrence in children with septal congenital defects requiring surgical interventions with car
Externí odkaz:
https://doaj.org/article/2732ff23740e44cda00d8625e3274a33
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 15, Iss 3, Pp 47-55 (2018)
Despite the availability of modern drugs, examination and treatment methods, the issue of cognitive dysfunction is still fairly important for intensive care and anaesthesiologic practice. The review presents statistic data on the frequency of cogniti
Externí odkaz:
https://doaj.org/article/62b5e3c450cf47fcb130c1f11799035c
Autor:
Das, Piali, Perrone, Valerio, Ivkin, Nikita, Bansal, Tanya, Karnin, Zohar, Shen, Huibin, Shcherbatyi, Iaroslav, Elor, Yotam, Wu, Wilton, Zolic, Aida, Lienart, Thibaut, Tang, Alex, Ahmed, Amr, Faddoul, Jean Baptiste, Jenatton, Rodolphe, Winkelmolen, Fela, Gautier, Philip, Dirac, Leo, Perunicic, Andre, Miladinovic, Miroslav, Zappella, Giovanni, Archambeau, Cédric, Seeger, Matthias, Dutt, Bhaskar, Rouesnel, Laurence
AutoML systems provide a black-box solution to machine learning problems by selecting the right way of processing features, choosing an algorithm and tuning the hyperparameters of the entire pipeline. Although these systems perform well on many datas
Externí odkaz:
http://arxiv.org/abs/2012.08483