USE OF THE LATEST COMPUTER TECHNOLOGIES IN THE DIAGNOSIS AND TREATMENT OF CARDIOVASCULAR DISEASES IN CHILDREN

The article reviews modern approaches to the use of computer technologies in the diagnosis and treatment of cardiovascular diseases in children. The main technologies discussed include artificial intelligence and machine learning for automated analysis of echocardiograms and ECGs, telemedicine and remote monitoring, three-dimensional visualization and 3D printing for surgical planning and training, wearable digital devices, and the integration of large clinical datasets for risk stratification and outcome prediction. The advantages and limitations of each technology are analyzed, including issues of validation, data security, and ethical aspects of their use in pediatrics. The article emphasizes the need to adapt algorithms to the age-related characteristics of children and highlights the importance of multicenter studies and regulatory frameworks for safe clinical implementation. The work is intended for clinicians, researchers, and medical students interested in the digital transformation of pediatric cardiology.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-15
DOI
https://doi.org/10.5281/zenodo.17618592
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

USE OF THE LATEST COMPUTER TECHNOLOGIES IN THE DIAGNOSIS AND TREATMENT OF CARDIOVASCULAR DISEASES IN CHILDREN

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

USE OF THE LATEST COMPUTER TECHNOLOGIES IN THE DIAGNOSIS AND TREATMENT OF CARDIOVASCULAR DISEASES IN CHILDREN

article en

Abstract

The article reviews modern approaches to the use of computer technologies in the diagnosis and treatment of cardiovascular diseases in children. The main technologies discussed include artificial intelligence and machine learning for automated analysis of echocardiograms and ECGs, telemedicine and remote monitoring, three-dimensional visualization and 3D printing for surgical planning and training, wearable digital devices, and the integration of large clinical datasets for risk stratification and outcome prediction. The advantages and limitations of each technology are analyzed, including issues of validation, data security, and ethical aspects of their use in pediatrics. The article emphasizes the need to adapt algorithms to the age-related characteristics of children and highlights the importance of multicenter studies and regulatory frameworks for safe clinical implementation. The work is intended for clinicians, researchers, and medical students interested in the digital transformation of pediatric cardiology.

Zenodo (CERN European Organization for Nuclear Research)
Ferghana Polytechnical Institute (UZ), Institute of Biophysics and Biomedical Engineering (BG), Applied BioPhysics (United States) (US)
Openalex Percentile: Top 49%
Artificial Intelligence in Healthcare and Education
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