Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Michael, Shifrin"'
Autor:
Ksenia Ershova, Ivan Savin, Nataliya Kurdyumova, Darren Wong, Gleb Danilov, Michael Shifrin, Irina Alexandrova, Ekaterina Sokolova, Nadezhda Fursova, Vladimir Zelman, Olga Ershova
Publikováno v:
Antimicrobial Resistance and Infection Control, Vol 7, Iss 1, Pp 1-11 (2018)
Abstract Background The impact of infection prevention and control (IPC) programs in limited resource countries such as Russia are largely unknown due to a lack of reliable data. The aim of this study is to evaluate the effect of an IPC program with
Externí odkaz:
https://doaj.org/article/75650e5c80f8400cb355dee87a7f5ef8
Autor:
Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Tatiana Konakova, Anna Zagorodnova, Angelina Popova, Andrey Postnov, Svetlana Shugay, Michael Shifrin, Igor Pronin
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Nowadays, the quantitative analysis of PET/CT data in patients with glioblastoma is not strictly standardized in the clinic and does not exclude the human factor. This study aimed to evaluate the relationship between the radiomic features of glioblas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ccb0ba463fb0fe691df10250095c8f
https://doi.org/10.3233/shti230320
https://doi.org/10.3233/shti230320
Autor:
Ksenia Ershova, Ivan Savin, Oleg Khomenko, Darren Wong, Gleb Danilov, Michael Shifrin, Ekaterina Sokolova, Vikas N O'Reilly-Shah, Abhijit V. Lele, Olga Ershova
Publikováno v:
Journal of Clinical Neuroscience. 97:32-41
The incidence of healthcare-associated respiratory tract infections in non-ventilated patients (NVA-HARTI) in neurosurgical intensive care units (ICUs) is unknown. The impact of NVA-HARTI on patient outcomes and differences between NVA-HARTI and vent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c144db29c56ff8b74163a03c0aa9462
https://doi.org/10.1016/j.jocn.2021.12.035
https://doi.org/10.1016/j.jocn.2021.12.035
Publikováno v:
Studies in health technology and informatics. 295
The submission is devoted to reflections on the role of trust to modern IT systems, especially based on the AI technologies. Its purpose is to draw the attention of the medical informatics community to the need to achieve trust at all stages of the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9a692b6593b720e4f45afdd913420ff6
https://pubmed.ncbi.nlm.nih.gov/35773929
https://pubmed.ncbi.nlm.nih.gov/35773929
Autor:
Gleb, Danilov, Konstantin, Kotik, Elena, Shevchenko, Dmitriy, Usachev, Michael, Shifrin, Yulia, Strunina, Tatyana, Tsukanova, Timur, Ishankulov, Vasiliy, Lukshin, Alexander, Potapov
Publikováno v:
Studies in health technology and informatics. 295
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ba4d62dc4b7daeee42c843045cb7ad9f
https://pubmed.ncbi.nlm.nih.gov/35773934
https://pubmed.ncbi.nlm.nih.gov/35773934
Autor:
Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin, Yulia Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce47875e4f3f4d422fb07c905df8d67
https://doi.org/10.3233/shti220788
https://doi.org/10.3233/shti220788
The submission is devoted to reflections on the role of trust to modern IT systems, especially based on the AI technologies. Its purpose is to draw the attention of the medical informatics community to the need to achieve trust at all stages of the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd02830b5d262be9d7247f18c16f4c04
https://doi.org/10.3233/shti220783
https://doi.org/10.3233/shti220783
Autor:
Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina, Tatiana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Alexander Potapov
This study aimed at testing the feasibility of neurosurgical procedures classification into 100+ classes using natural language processing and machine learning. A catboost algorithm and bidirectional recurrent neural network with a gated recurrent un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c86976ce6c64083817317b11fd77a8ae
https://doi.org/10.3233/shti220754
https://doi.org/10.3233/shti220754
Autor:
Gleb, Danilov, Vladislav, Korolev, Michael, Shifrin, Eugene, Ilyushin, Narek, Maloyan, Daniel, Saada, Timur, Ishankulov, Ramin, Afandiev, Alexander, Shevchenko, Tatyana, Konakova, Tatyana, Tsukanova, Svetlana, Shugay, Igor, Pronin, Alexander, Potapov
Publikováno v:
Studies in health technology and informatics. 290
Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue types and prognosis. They could be graded with four levels according to the 2007 WHO classification. The emergence of non-invasive histological and molec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b9a9f7f7ed08a230668492743fa1511c
https://pubmed.ncbi.nlm.nih.gov/35673102
https://pubmed.ncbi.nlm.nih.gov/35673102
Autor:
Gleb Danilov, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan, Daniel Saada, Timur Ishankulov, Ramin Afandiev, Alexander Shevchenko, Tatyana Konakova, Tatyana Tsukanova, Svetlana Shugay, Igor Pronin, Alexander Potapov
Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue types and prognosis. They could be graded with four levels according to the 2007 WHO classification. The emergence of non-invasive histological and molec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cc9ac979de6648574bfc98f7f48da14
https://doi.org/10.3233/shti220163
https://doi.org/10.3233/shti220163