A5039418243- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Healthcare Systems and Public Health
- Artificial Intelligence in Healthcare and Education
- Lung Cancer Diagnosis and Treatment
- Radiology practices and education
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Ultrasound Imaging and Elastography
- Cardiac Imaging and Diagnostics
- Ultrasound and Hyperthermia Applications
- Bone health and osteoporosis research
- Cardiovascular Disease and Adiposity
- AI in cancer detection
- Facial Rejuvenation and Surgery Techniques
- Colorectal Cancer Screening and Detection
- Atomic and Subatomic Physics Research
- COVID-19 Clinical Research Studies
- Medical Imaging and Analysis
- COVID-19 and healthcare impacts
- Electrical and Bioimpedance Tomography
- Advanced Neuroimaging Techniques and Applications
European Society of Radiology
2025
Moscow Power Engineering Institute
2024
Medical Technologies (Czechia)
2020-2022
Russian Research Center for Molecular Diagnostics and Therapy
2019-2022
Telemedicine & Advanced Technology Research Center
2019-2022
ORCID
2020
Institute of Practical Psychology and Psychoanalysis
2019
Paracelsus Medical University
2018
Albany Medical Center Hospital
2018
Moscow Clinical Scientific Center
2018
Abstract This dataset contains anonymised human lung computed tomography (CT) scans with COVID-19 related findings, as well without such findings. A small subset of studies has been annotated binary pixel masks depicting regions interests (ground-glass opacifications and consolidations). CT were obtained between 1st March, 2020 25th April, 2020, provided by municipal hospitals in Moscow, Russia. Permanent link: https://mosmed.ai/datasets/covid19_1110 . is licensed under a Creative Commons...
We report the results of a survey conducted among ESR members in November and December 2018, asking for expectations about artificial intelligence (AI) 5-10 years. Of 24,000 contacted, 675 (2.8%) completed survey, 454 males (67%), 555 (82%) working at academic/public hospitals. AI impact was mostly expected (≥ 30% responders) on breast, oncologic, thoracic, neuro imaging, mainly involving mammography, computed tomography, magnetic resonance. Responders foresee on: job opportunities (375/675,...
With the ongoing COVID-19 pandemic decreasing availability of polymerase chain reaction with reverse transcription and snowballing growth medical imaging, especially number chest computed tomography (CT) scans being performed, methods to augment automate image analysis, increasing productivity minimizing human error are particular importance. The creation high-quality datasets is essential for development validation artificial intelligence algorithms. Such technologies have sufficient...
In Europe, lung cancer ranks third among the most common cancers, remaining biggest killer. Since publication of first European Society Radiology and Respiratory joint white paper on screening (LCS) in 2015, many new findings have been published discussions increased considerably. Thus, this updated expert opinion represents a narrative, non-systematic review evidence from LCS trials description current practice as well aspects that not received adequate attention until now. Reaching out to...
The current COVID-19 pandemic overloads healthcare systems, including radiology departments. Though several deep learning approaches were developed to assist in CT analysis, nobody considered study triage directly as a computer science problem. We describe two basic setups: Identification of prioritize studies potentially infected patients isolate them early possible; Severity quantification highlight with severe COVID-19, thus direct hospital or provide emergency medical care. formalize...
ObjectiveTo evaluate performance of AI as a standalone reader in ultra-low-dose CT lung cancer baseline screening, and compare it to that experienced radiologists.Methods283 participants who underwent ultra-LDCT scan Moscow Lung Cancer Screening, between February 2017–2018, had at least one solid nodule, were included. Volumetric nodule measurements performed by five blinded radiologists, independently assessed using an screening prototype (AVIEW LCS, v1.0.34, Coreline Soft, Co. ltd, Seoul,...
Age-related changes of the frontal bone in both males and females have received limited attention, although understanding these is crucial to developing best surgical nonsurgical treatment plans for this area. To investigate age-related gender-related forehead. Cranial computed tomographic images from 157 Caucasian individuals were investigated (10 10 each following decades: 20-29 years, 30-39 40-49 50-59 60-69 70-79 80-89 8 9 aged 90-98 years). Frontal thickness forehead distance...
Our understanding of the aging changes involving cranium and its impact on overlying soft tissues is limited.This study was designed to look at that occur in with propose an additional mechanism for loss support tissues.One hundred fifty-seven white individuals (10 males 10 females each decade: 20-29 years, 30-39 40-49 50-59 60-69 70-79 80-89 8 9 aged 90-98 years) were investigated. Computed tomographic (CT) multiplanar scans standardized measurements cranial thickness performed frontal...
Background: Information on the onset and gender differences of midfacial skeletal changes, including complete understanding theory behind clockwise rotational theory, remains elusive. Methods: One hundred fifty-seven Caucasian individuals (10 men 10 women aged 20 to 29 years, 30 39 40 49 50 59 60 69 70 79 80 89 eight nine 90 98 years) were investigated. Multiplanar computed tomographic scans with standardized angle distance measurements in all three anatomical axes alignment sella-nasion...
Abstract Background Previous anatomic studies have provided valuable information on the 2-dimensional course of angular segment facial artery in midface and its arterial connections. The third dimension (ie, depth artery) is less well characterized. Objectives objective present study was to describe 3-dimensional pathway relationship muscles expression. Methods bilateral location midfacial measured utilizing multi-planar computed tomographic image analyses obtained from contrast...
Abstract Present‐day crocodylians exhibit a remarkably akinetic skull with highly modified braincase. We present comprehensive description of the neurocranial osteology extant crocodylians, notes on development individual skeletal elements and discussion terminology used for this project. The quadrate is rigidly fixed by multiple contacts most braincase elements. parabasisphenoid sutured to pterygoids (palate) (suspensorium); as result, basipterygoid joint completely immobilized. prootic...
Quality assurance is the key component of modern radiology. A telemedicine-based quality system helps to overcome "scoring" approach and makes control more accessible objective.A concept for in radiology developed. Its realization a set strategies, actions, tools. The latter based on peer review 23,199 computed tomography (CT) magnetic resonance imaging (MRI) images.The conception management represents chain actions: "discrepancies evaluation - routine support improvement activity...
The objective: to predict lethal outcomes in patients with COVID-19 based on the result of chest computed tomography (chest CT) using a semi-quantitative visual scale pulmonary parenchyma lesion. Subjects and methods. Inclusion criteria: who underwent CT from March 2 May 1, 2020, inclusively, upon referral general practitioner due suspected community-acquired pneumonia caused by COVID-19. Chest was performed 48 medical organizations providing primary care adult population Moscow. Exclusion...
Abstract Background Due to its arterial vasculature, the nasolabial sulcus is one of most challenging facial regions treat when trying ameliorate signs aging. Objectives The aim present study was provide data on 3-dimensional course angular artery within in relation age, gender, and body mass index increase safety during minimally invasive treatments. Methods Thee hundred sulci from 75 males females Russian Caucasian ethnic background (mean [standard deviation] 45.7 [18.7] years; mean index,...
The article describes a novel approach to creating annotated medical datasets for testing artificial intelligence-based diagnostic solutions. Moreover, there are four stages of dataset formation described: planning, selection initial data, marking and verification, documentation. There also examples created using the described methods. technique is scalable versatile, it can be applied other areas medicine healthcare that being automated developed intelligence big data technologies.
BACKGROUND:In the current epidemiological situation, computed tomography (CT) of chest organs plays an important role in disease diagnosis. Clinical and CT data allow physicians to quickly establish probability presence prognosis patients with coronavirus 2019 (COVID-19).
 AIMS:This study aimed predict outcomes laboratory-confirmed COVID-19 based on a semi-quantitative visual pulmonary lesion grading system (CT 04).
 MATERIALS AND METHODS:A retrospective analysis Unified Medical...