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ОРИГИНАЛЬНЫЕ ИССЛЕДОВАНИЯ
Articles in this section — 60 articles
Social factor analysis of mental health on the LOGINOM Low-Code platform: applied experience for healthcareDOI: 10.29188/2712-9217-2025-11-4-26-31, pp. 26-31Background. The digitalization of medicine generates vast arrays of heterogeneous data, including socio-economic and behavioral factors, which are essential for a comprehensive assessment of the population's mental health. Modern Russian low-code platforms, such as Loginom, enable the automation of…
Development of a visualization model for immunological parameters to predict the severity of cardiovascular diseasesDOI: 10.29188/2712-9217-2025-11-4-17-25, pp. 17-25Introduction. This study presents the practical application of a developed software suite designed for the visualization and analysis of immunological parameters in patients with cardiovascular diseases (CVD). The core of the software is an original three-dimensional mathematical balance model that…
Development of a machine learning model for predicting scleroplasty outcomes in childrenDOI: 10.29188/2712-9217-2025-11-4-38-44, pp. 38-44Introduction. Progressive myopia (nearsightedness) in children represents one of the most acute medical and social problems in modern ophthalmology. Purpose. To develop a machine learning model for predicting the outcome of scleroplasty in children 12 months after surgery. Material and methods. A…
Development of a Telegram bot for teaching ECG basicsDOI: 10.29188/2712-9217-2025-11-4-32-37, pp. 32-37Introduction. With the development of educational technologies, MOOCs (Massive Open Online Courses) have become popular; however, their large volume and lack of interactivity can make learning difficult. In contrast, Telegram, being the most popular messenger in Russia, does not require moving to…
Technology of trust: «Vaxi» – a modern vaccination solutionDOI: 10.29188/2712-9217-2025-11-3-19-24, pp. 19-24Introduction. Vaccine prophylaxis remains an indispensable tool for controlling infectious morbidity. However, the global crisis of trust in vaccination, exacerbated by the "infodemic" and the spread of pseudoscientific data in the digital environment, poses a threat to biological safety. There is…
The use of AI tools to improve the quality of scientific publications through automated analysis of article preprintsDOI: 10.29188/2712-9217-2025-11-3-32-37, pp. 32-37Introduction. Amid the exponential growth of medical knowledge and publication activity, the speed of disseminating scientific results to the professional community is becoming a critical factor. An assessment of the duration of the peer-review and publication process in biomedical journals…
Intelligent physician decision support system for diagnosis of skin neoplasms based on mobile dermoscopyDOI: 10.29188/2712-9217-2025-11-3-38-44, pp. 38-44Introduction. Malignant skin neoplasms are one of the most pressing problems in modern healthcare, characterized by a steady increase in morbidity. Early diagnosis of initial forms of melanoma by primary care physicians who lack dermoscopy skills presents a particular challenge. The aim of the…
Development of an automated system for bone age assessment in children based on hand radiography using artificial intelligence technologiesDOI: 10.29188/2712-9217-2025-11-3-25-31, pp. 25-31Background. Bone age (BA) assessment is a fundamental tool in pediatrics, pediatric endocrinology, and orthopedics for diagnosing growth and developmental disorders. Traditional manual assessment methods (the Greulich-Pyle atlas, Tanner-Whitehouse method) are characterized by high subjectivity, low…
Intelligent сhatbot MS-Assist for clinical decision support in multiple sclerosisDOI: 10.29188/2712-9217-2025-11-2-19-23, pp. 19-23Multiple sclerosis (MS) represents a significant interdisciplinary challenge requiring accurate and timely diagnosis, as well as complex, long-term patient management. Amid shortages of specialized physicians and high disease variability, digital clinical decision support systems (CDSS) are…
DocLearn: An Integrated Digital Ecosystem for a Medical CareerDOI: 10.29188/2712-9217-2025-11-2-29-33, pp. 29-33The article addresses the issue of digital fragmentation within the professional healthcare environment and substantiates the need for specialized ecosystems for physicians. The author analyzes current challenges facing the medical community, such as information overload, lack of trust in…
Detection of Parkinson's disease via EEG using machine learning and spectral analysis techniquesDOI: 10.29188/2712-9217-2025-11-2-24-28, pp. 24-28This paper addresses the critical challenge of early instrumental diagnosis of Parkinson's disease (PD). Existing clinical assessment methods are frequently subjective, necessitating the implementation of automated biomarker analysis systems. The aim of this study was to develop and validate a…
Digital technologies in remote monitoring of childbirth with a Clinical decision support system (CDSS)DOI: 10.29188/2712-9217-2025-11-2-7-13, pp. 7-13The AIST_PARTUS service is an intelligent central partogram monitoring system with automated assessment of critical maternal and fetal health indicators during labor, labor progress analysis (sufficient frequency and duration of contractions/ cervical dilation/progression of the fetal head), and…
«CORINTEL.TECH»: artificial intelligence for electrocardiogram annotationDOI: 10.29188/2712-9217-2025-11-2-14-18, pp. 14-18The «CORINTEL.TECH» project represents an artificial intelligence (AI)–based software solution for the analysis and annotation of 12-lead electrocardiograms (ECGs). The primary objective of the project is to enhance diagnostic speed and accuracy, optimize healthcare resource utilization, and…
ASLEEP – a platform for sleep assessment and sleep improvement solutionsDOI: 10.29188/2712-9217-2025-11-1-35-40, pp. 35-40Introduction. Sleep disorders remain highly prevalent and are associated with adverse somatic and mental health outcomes. The growing ecosystem of digital tools – from electronic sleep diaries to cognitive behavioral therapy for insomnia (CBT-I) – offers new opportunities for screening and…
A clinical reasoning training simulator in PythonDOI: 10.29188/2712-9217-2025-11-1-31-34, pp. 31-34The development of clinical reasoning is a key, yet often insufficiently systematized competency in medical education. Existing digital solutions for practicing these skills, such as virtual patient simulators, are often costly, require complex technical infrastructure, and may be poorly adapted to…
Development of a personalized 3D tooth modelDOI: 10.29188/2712-9217-2025-11-1-28-30, pp. 28-30The article addresses the issue of insufficient anatomical accuracy in existing models used for simulation-based training in dentistry. The authors propose a solution through the development of personalized 3D tooth models based on real tomographic data. The work details the model creation process:…
DocAI – An intelligent cross-platform system for optimizing the educational process in medical universitiesDOI: 10.29188/2712-9217-2025-11-1-23-27, pp. 23-27Introduction. Technological progress and recent advances in artificial intelligence (AI) have led to the emergence of solutions aligned with key trends in global education – enhanced flexibility, adaptivity, and personalization of the learning process. One of the major challenges of medical…
Computer reconstruction of the interaction of genes associated with Angelman syndromeDOI: 10.29188/2712-9217-2024-10-4-7-19, pp. 7-19Reconstruction of the structure of the gene network for a set of genes associated with the disease makes it possible to determine the effectiveness of diagnosis and therapy, and to study the possibilities of targeted drug effects on target genes. The study of Angelman syndrome, a hereditary…
Unified State Health Information Systems (USHIS) in Eastern CountriesDOI: 10.29188/2712-9217-2024-10-3-21-34, pp. 21-34The introduction of information technology (IT) in healthcare has led to a real revolution in the provision and management of medical care. However, they are developing with different intensity in different countries. The purpose of the study was to test criteria to determine the degree of IT…
Unified Health Information Systems in Latin American and post-Soviet countriesDOI: 10.29188/2712-9217-2024-10-3-35-54, pp. 35-54The introduction of information technology (IT) in healthcare has led to a real revolution in the provision and management of medical care. However, they are developing with different intensity in different countries. The purpose of the study was to test criteria to determine the degree of IT…