A system for supporting medical decision-making for early diagnosis of children with ventricular septal defect

View at publisher
Authors: С. В. Фролов, Судаков Дмитрий Евгеньевич, Коробов Артем Андреевич, D.G. Styrykh
Cited by: 0

Abstract

Problem statement. The problem under consideration is caused by the need to develop an effective system for monitoring the condition of pediatric patients with a diagnosed ventricular septal defect. Within the framework of the proposed approach, special attention is paid to the creation of a model that allows predicting the development of potentially dangerous hemodynamic disorders. Work purpose. development of a method for in silico modeling of the current functional status and dynamics of changes in the cardiovascular system in children with VSD, aimed at optimizing clinical decision-making and reducing the level of infant mortality. Results. A specialized software package for mathematical modeling of the cardiovascular system in children with ventricular septal defect has been developed. The created system provides comprehensive forecasting of the physiological state of a developing organism, taking into account age-related hemodynamic characteristics. The developed computational system incorporates a comprehensive multiparametric model capable of quantitative risk stratification for impending critical cardiovascular events, early detection of preclinical hemodynamic disturbances, and in silico evaluation of therapeutic interventions. This integrated modeling framework enables probabilistic assessment of pathophysiological progression while providing clinically actionable insights through simulation-based treatment optimization. Practical significance. of the study results lies in the possibility of preventing life-threatening complications through timely detection of negative trends in changes in hemodynamic parameters.

Fields of Study & Subjects

Congenital Heart Disease Studies Cardiovascular and Diving-Related Complications Hemodynamic Monitoring and Therapy

Publication details

Journal / source
Biomedical Radioelectronics
Pages
18–23
Publication date
1 January 2026
Language
EN