- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Artificial Intelligence in Healthcare and Education
- Healthcare Systems and Public Health
- Dental Radiography and Imaging
- Digital Radiography and Breast Imaging
- MRI in cancer diagnosis
- Ultrasound in Clinical Applications
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Aortic Disease and Treatment Approaches
- Optical Imaging and Spectroscopy Techniques
- Peripheral Nerve Disorders
- Global Cancer Incidence and Screening
- Spinal Fractures and Fixation Techniques
- Cardiovascular Disease and Adiposity
- Prostate Cancer Treatment and Research
- Innovation and Knowledge Management
- Cardiovascular Health and Risk Factors
- Head and Neck Cancer Studies
- Atomic and Subatomic Physics Research
- COVID-19 diagnosis using AI
- Technology Assessment and Management
- Laser Applications in Dentistry and Medicine
Kuban State Medical University
2024-2025
Telemedicine & Advanced Technology Research Center
2025
Medical Technologies (Czechia)
2020-2024
National Medical and Surgical Center named after N.I. Pirogov
2024
Russian Research Center for Molecular Diagnostics and Therapy
2023
BACKGROUND: In recent years, the availability of medical datasets and technologies for software development based on artificial intelligence technology has resulted in a growth number solutions diagnostics, particularly mammography. Registered as device, this program can interpret digital mammography, significantly saving time, material, human resources healthcare while ensuring quality mammary gland preventive studies.
 AIM: This study aims to justify possibility effectiveness...
BACKGROUND: Aortic aneurysms are known as “silent killers” because this potentially fatal condition can be asymptomatic. The annual incidence of thoracic aortic and ruptures is approximately 10 1.6 per 100,000 individuals, respectively. mortality rate for ruptured ranges from 94% to 100%. Early diagnosis treatment life-saving. Artificial intelligence technologies significantly improve diagnostic accuracy save the lives patients with aneurysms. AIM: This study aimed assess efficacy artificial...
INTRODUCTION: In modern clinical practice, the diagnosis establishment and monitoring of pulmonary arteries are important components care for patients with cardiovascular respiratory diseases. However, in Russia, there remains a limited amount epidemiological data on prevalence artery dilation, especially at population level. This study aims to fill this gap by providing population-based dilation city Moscow. With help advanced artificial intelligence technologies, work seeks offer...
Purpose: To quantitatively evaluate reconstruction software algorithms in combination with algorithm O-MAR for correcting metal artifacts CT-images and explore the potential of using radiation therapy planning tasks. Material methods: A quantitative assessment on CT scans a 20 cm diameter cylindrical phantom hip joint implant center was performed. Test tubes different concentrations potassium hydrogen phosphate (K2HO4×3H2O) were placed around implant. The evaluation parameters used standard...
The research objective was to evaluate the effect of implementing a set management decisions during transition scientific and practical institution from R&D projects. We carried out longitudinal sociological study using double-survey method. survey conducted before after implementation structured systemic measures improve efficiency activities. have implemented this because our stage work both development Ideas matrix participative were included in measures. assessed employees’...
Backgraund:Osteoporosis (OP) is often diagnosed at the stage of complications. Compression fractures (CF) vertebral bodies, complications OP, and predictors subsequent are asymptomatic. CF can be detected on CT scan performed for other indications. We have analyzed approaches to using artificial intelligence services (AI services) generated diagnosing bodies. Aims:Testing AI identify based chest assess possibility their implementation into practice medical facilities Moscow Healthcare...
BACKGROUND: Cone beam computed tomography is widely applied for diagnostics and planning various manipulations in the maxillofacial region, example, dental implantation. Its advantages include high spatial resolution, low radiation exposure, cost-effectiveness. However, it has a significant drawback: inability to determine density of jaw bone Hounsfield Units (HU).
 AIMS: This study aimed develop radiopaque templates with sets X-ray based on potassium hydrophosphate beta-tricalcium...
Background. In modern medicine, artificial intelligence algorithms are being actively introduced, for testing and training of which a large amount labeled datasets is required. Software labeling (annotation) digital diagnostic images necessary element when creating datasets. Aim. To review the capabilities comparative analysis functionality most common available software annotating images. Material methods. Five free one commercial product annotation participated in analysis. When marking...
Background. Emphysema, commonly seen in patients with chronic obstructive pulmonary disease (COPD), worsens the course of cardiovascular and endocrine diseases is also associated an increased risk lung cancer. Although evaluation COPD incidence applied systematically, prevalence emphysema often not known. One ways to offset that automated analysis chest CT scans using artificial intelligence technologies. Goal. To study population Moscow radiological examinations. Methods. The results scan...
The article presents a selective literature review on the use of computer vision algorithms for diagnosis liver and kidney neoplasms urinary stones using computed tomography images abdomen retroperitoneal space. included articles published between January 1, 2020, April 24, 2023. Pixel-based showed greatest diagnostic accuracy parameters segmenting its (accuracy, 99.6%; Dice similarity coefficient, 0.99). Voxel-based were superior at classifying 82.5%). Pixel- voxel-based fared equally well...
BACKGROUND: Magnetic resonance imaging is one of the leading modalities musculoskeletal system. However, when hand, major problems in magnetic include lack specialized coils and reliable fixation devices for uncomfortable patient posture, motion artifacts, small anatomical structures wrist. These factors inevitably lead to incorrect interpretation. AIM: To improve quality hand by developing an approach coil selection, scanning protocol, positioning fixation. MATERIALS AND METHODS: A device...
Ensuring a quality of diagnostic radiology along with increasing efficiency is key task for healthcare system both municipal medical facilities and private medicine. When defective X-ray image obtained, there need to re-conduct examination, which in turn entails reputational, temporary economic losses facility. Repeated examination makes an additional contribution the patient’s radiation exposure also. The paper shows that providing telemedicine services, implementation clinical audit...
Backgraund: Digital mammography is a key tool for diagnosing breast cancer (BC), which can reduce mortality by 20-40% due to early detection of pathology. To date, there have been developed many AI services that allow you automate the process evaluating such studies. Aims: The purpose this work compare results different types and versions in relation physician assessments analysis Materials methods: We compared several binary scales assessing examinations, as well using accuracy metrics,...
High-quality visualization of the temporomandibular joint (TMJ) allows to choose most optimal tactics for conservative or surgical treatment. Performing magnetic resonance imaging (MRI) in patients with metal structures maxillofacial area is a pressing issue ensuring quality diagnostics. In presented clinical case, methodology performing diagnostically significant MRI TMJ presence region interest (ROI) was clearly demonstrated and described.
This paper presents a clinical case of 39-year-old pregnant woman with respiratory signs the novel coronavirus Covid-19 infection. Chest MRI showed bilateral lesions in basal segments. The PCR test was positive. A lung condition assessed without loss significant diagnostic information. Besides that, absence exposure to ionizing radiation allowed avoid high loading dose on patient and fetus. reveals potential opportunities diagnosis pulmonary pathology radiation, especially risk groups...
BACKGROUND: Magnetic resonance imaging can detect clinically significant prostate cancer and diagnose extracapsular extension stage. A scanning protocol that includes only T2-weighted diffusion-weighted images represents a viable alternative to multiparametric magnetic provided the high diagnostic accuracy of test is maintained. In recent studies, biparametric demonstrated slight differences in detecting cancer. AIM: To compare for detection using PI-RADS v2.1 with imaging-guided multifocal...
BACKGROUND: Technological defects in the use of artificial intelligence software are critical when deciding on practical applicability and clinical value software. AIM: To conduct an analysis systematization technological occurring analyzes medical images. MATERIALS AND METHODS: As part experiment innovative computer vision technologies for images further application Moscow healthcare system, parameters all monitored at testing operation stages trial. This article presents graphical...
本文报告介绍一例39岁孕妇临床表现为COVID-19呼吸体征的病例。胸部器官MRI显示双侧基底节病变。PCR检测结果阳性。在不丢失重要诊断信息的情况下对肺部状况进行评估。此外,非电离辐射使患者和胎儿避免大剂量辐射成为可能。本病例显示MRI在非电离辐射的情况下诊断肺病理,特别是在危险群体(儿童、孕妇等)。