Michael Shifrin
YOU?
Author Swipe
Hospital Information Systems: From Trio to Quartet Open
This paper outlines the key insights gained from the design and implementation of a Biobank Information Support System (BIS) at the N.N. Burdenko National Medical Research Center for Neurosurgery. Given the pivotal role biobanks play in ad…
Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool Open
In our recent study, the attempt to classify neurosurgical operative reports into routinely used expert-derived classes exhibited an F-score not exceeding 0.74. This study aimed to test how improving the classifier (target variable) affect…
The Assessment of Glioblastoma Metabolic Activity via 11C-Methionine PET and Radiomics Open
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 …
Predictive model for preoperative risk calculation of cerebrospinal fluid leak after resection of midline craniofacial mass lesions Open
The performed study has allowed for identifying the most significant predictors of postoperative CSF leak and developing an effective formula to estimate the risk of this complication using data known for each patient. We believe that the …
Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms Open
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 r…
Artificial Intelligence: On the Way to Doctor’s Trust Open
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 stag…
Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model Open
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 …
Noninvasive Glioma Grading with Deep Learning: A Pilot Study Open
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 histologica…
Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations Open
Patients, relatives, doctors, and healthcare providers anticipate the evidence-based length of stay (LOS) prediction in neurosurgery. This study aimed to assess the quality of LOS prediction with the GPT3 language model upon the narrative …
Nosocomial meningitis laboratory criteria in ICU patients: 5-year surveillance Open
Introduction. Nosocomial meningitis (NM) is one of the leading complications in neurosurgery due to high mortality and disability rates. Objective. The study was aimed to determine the reference values of laboratory parameters to diagnose …
Database of infection control and surveillance program, 2011-2020 Open
A full anonymized data set was collected as a part of the ICU infection control and surveillance program; 01/01/2011-12/31/2020 File "Zenodo_DB_v4.csv" contains daily data (one row is one day) on infection surveillance ordered by date. Fil…
Database of infection control and surveillance program, 2011-2020 Open
A full anonymized data set was collected as a part of the ICU infection control and surveillance program; 01/01/2011-12/31/2020 File "Zenodo_DB_v4.csv" contains daily data (one row is one day) on infection surveillance ordered by date. Fil…
Database of infection control and surveillance program, 2011-2020 Open
A full anonymized data set was collected as a part of the ICU infection control and surveillance program; 01/01/2011-12/31/2020 File "Zenodo_DB_v3.csv" contains daily data (one row is one day) on infection surveillance ordered by date. Fil…
The Incidence and Outcomes of Healthcare-associated Respiratory Tract Infections in Non-ventilated Neurocritical Care Patients: Results of a 10-year Prospective Cohort Study Open
Background . The incidence of healthcare-associated respiratory tract infections in non-ventilated patients (NVA-HARTI) in neurosurgical intensive care units (ICU) is unknown. The impact of NVA-HARTI on patient outcomes and differences bet…
Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches Open
Unstructured medical text labeling technologies are expected to be highly demanded since the interest in artificial intelligence and natural language processing arises in the medical domain. Our study aimed to assess the agreement between …
Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives Open
The article highlights the main areas and trends in the up-to-date AI research in neurosurgery, which might be helpful in planning new scientific projects.
Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas Open
The information presented in this review can be instrumental in planning new research projects in neurosurgery.
The Impact of Intervention-Related Risk Factors on the Risk of Ventilator-Associated Pneumonia Is High in a Neurosurgical Intensive Care Unit Open
Background: Ventilator-associated pneumonia (VAP) represents the highest burden among all healthcare-associated infections (HAIs), with a particularly high rate in patients in neurosurgical ICUs. Numerous VAP risk factors have been identif…
Database of infection control and surveillance program, 2011-2018 Open
A full anonymized data set collected as a part of ICU infection control and surveillance program; 01/01/2011-01/01-2018 Files "VAE_Data_Main_0821_1338.csv" contains daily data (one row is one day) on infection surveillance ordered by date.…
Detection of Muscle Weakness in Medical Texts Using Natural Language Processing Open
Identifying adverse events in clinical documents is demanded in retrospective clinical research and prospective monitoring of treatment safety and cost-effectiveness. We proposed and evaluated a few methods of semi-automated muscle weaknes…
Specialized biorepository for human brain glioma: project development and operational experience Open
Introduction. Today we observe an increase in brain tumor incidence around the world, and glioma is no exception. Gliomas are still among the most frequently diagnosed primary central nervous system tumors despite a large number of glioma …
Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans Open
Intracranial hemorrhage is a pathological condition that requires fast diagnosis and decision making. Recently, a neural network model for classification of different intracranial hemorrhage types was proposed by a member of our research g…
Semiautomated Approach for Muscle Weakness Detection in Clinical Texts Open
The automated detection of adverse events in medical records might be a cost-effective solution for patient safety management or pharmacovigilance. Our group proposed an information extraction algorithm (IEA) for detecting adverse events i…
View article: Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports
Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports Open
This study aimed to predict the duration of the postoperative in-hospital period in neurosurgery based on unstructured operative reports, natural language processing, and deep learning. The recurrent neuronal network (RNN-GRU) was tuned on…
P11.64 Specialized neurooncologial biorepository of the N.N. Burdenko National Medical Research Center for Neurosurgery: high-quality tumor bank for personalized medicine Open
BACKGROUND Specialized biorepositories in neurooncology serve for storage of tissue samples derived from patients with central nervous system (CNS) tumors. In 2016 the new facility was launched for collection of CNS tumor specimens. The pr…