Publications by authors named "Michael Shifrin"

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Hospital Information Systems: From Trio to Quartet.
Michael Shifrin, Tatiana Tsukanova, Galina Pavlova, Gleb Danilov, Igor Pronin

Stud Health Technol Inform· June 2025

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Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool.
Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina

Stud Health Technol Inform· June 2023

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An optimized IL-12-Fc expands its therapeutic window, achieving strong activity against mouse tumors at tolerable drug doses.
Eva Gutierrez, Mitchell Bigelow, Colin LaCroix, Jeremy Beech, Patrick Kirby, Michael Shifrin

Med· May 2023

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The Assessment of Glioblastoma Metabolic Activity via 11C-Methionine PET and Radiomics.
Gleb Danilov, Diana Kalaeva, Nina Vikhrova, Tatiana Konakova, Anna Zagorodnova, Michael Shifrin

Stud Health Technol Inform· May 2023

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Predictive model for preoperative risk calculation of cerebrospinal fluid leak after resection of midline craniofacial mass lesions.
Denis A Golbin, Alexander V Vecherin, Vasily A Cherekaev, Nikolay V Lasunin, Tatyana V Tsukanova, Michael A Shifrin

World Neurosurg X· April 2023

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Noninvasive Glioma Grading with Deep Learning: A Pilot Study.
Gleb Danilov, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan

Stud Health Technol Inform· June 2022

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Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms.
Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina

Stud Health Technol Inform· June 2022

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Artificial Intelligence: On the Way to Doctor's Trust.
Michael Shifrin, Anton Khavtorin, Gleb Danilov

Stud Health Technol Inform· June 2022

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Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.
Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin

Stud Health Technol Inform· June 2022

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The incidence and outcomes of healthcare-associated respiratory tract infections in non-ventilated neurocritical care patients: Results of a 10-year cohort study.
Ksenia Ershova, Ivan Savin, Oleg Khomenko, Darren Wong, Gleb Danilov, Michael Shifrin

J Clin Neurosci· March 2022

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A Comparison of Word Embeddings to Study Complications in Neurosurgery.
Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatyana Pronkina

Stud Health Technol Inform· January 2022

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Semiautomatic Identification of Pulmonary Embolism in Electronic Health Records Through Sentence Labeling.
Gleb Danilov, Timur Ishankulov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Michael Shifrin

Stud Health Technol Inform· January 2022

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Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations.
Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin

Stud Health Technol Inform· January 2022

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Best Research Practice Implementation: The Experience of the N.N. Burdenko National Medical Research Center of Neurosurgery.
Gleb Danilov, Michael Shifrin, Yulia Strunina, Timur Ishankulov, Timur Zagidullin

Stud Health Technol Inform· November 2021

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Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches.
Gleb Danilov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael Shifrin

Stud Health Technol Inform· May 2021

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Detection of Muscle Weakness in Medical Texts Using Natural Language Processing.
Gleb Danilov, Michael Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova

Stud Health Technol Inform· June 2020

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Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports.
Gleb Danilov, Konstantin Kotik, Michael Shifrin, Uliya Strunina, Tatyana Pronkina

Stud Health Technol Inform· June 2020

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Semiautomated Approach for Muscle Weakness Detection in Clinical Texts.
Gleb Danilov, Michael Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova

Stud Health Technol Inform· June 2020

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Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans.
Gleb Danilov, Konstantin Kotik, Anna Negreeva, Tatiana Tsukanova, Michael Shifrin

Stud Health Technol Inform· June 2020

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Implementing an infection control and prevention program decreases the incidence of healthcare-associated infections and antibiotic resistance in a Russian neuro-ICU.
Ksenia Ershova, Ivan Savin, Nataliya Kurdyumova, Darren Wong, Gleb Danilov, Michael Shifrin

Antimicrob Resist Infect Control· September 2019

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Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery.
Gleb Danilov, Konstantin Kotik, Michael Shifrin, Uliya Strunina, Tatyana Pronkina

Stud Health Technol Inform· August 2019

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Blockchain as a Process Control Tool for Healthcare.
Michael Shifrin, Anton Khavtorin, Vadim Stepurin, Boris Zingerman

Stud Health Technol Inform· July 2019

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An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language.
Gleb Danilov, Michael Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov

Stud Health Technol Inform· July 2019

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Diagnostic Games as a Teaching Tool.
Michael Shifrin, Gleb Danilov, Nikita Shklovskiy-Kordi, Boris Zingerman

Stud Health Technol Inform· November 2018

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Healthcare-associated ventriculitis and meningitis in a neuro-ICU: Incidence and risk factors selected by machine learning approach.
Ivan Savin, Ksenia Ershova, Nataliya Kurdyumova, Olga Ershova, Oleg Khomenko, Michael Shifrin

J Crit Care· June 2018

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