PREDICTION OF CARDIOVASCULAR DISEASES WITH THE HELP OF ARTIFICIAL INTELLIGENCE

This article explores the potential of artificial intelligence (AI) technologies in the early detection and prediction of cardiovascular diseases. As heart-related conditions remain one of the leading causes of mortality worldwide, timely diagnosis plays a crucial role in preventing severe complications. AI algorithms—particularly those based on machine learning and deep learning—enable the analysis of large volumes of clinical data, uncovering hidden patterns and risk factors with high accuracy. The paper discusses the application of AI in cardiology, including its effectiveness in enhancing diagnostic precision, supporting clinical decision-making, and providing personalized health recommendations. Additionally, the article examines international experiences, key benefits, current limitations, and the future prospects of integrating AI tools into healthcare systems. The findings highlight the growing significance of digital technologies in combating cardiovascular diseases and shaping the future of predictive medicine.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-26
DOI
https://doi.org/10.5281/zenodo.15516754
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

PREDICTION OF CARDIOVASCULAR DISEASES WITH THE HELP OF ARTIFICIAL INTELLIGENCE

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

PREDICTION OF CARDIOVASCULAR DISEASES WITH THE HELP OF ARTIFICIAL INTELLIGENCE

article en

Abstract

This article explores the potential of artificial intelligence (AI) technologies in the early detection and prediction of cardiovascular diseases. As heart-related conditions remain one of the leading causes of mortality worldwide, timely diagnosis plays a crucial role in preventing severe complications. AI algorithms—particularly those based on machine learning and deep learning—enable the analysis of large volumes of clinical data, uncovering hidden patterns and risk factors with high accuracy. The paper discusses the application of AI in cardiology, including its effectiveness in enhancing diagnostic precision, supporting clinical decision-making, and providing personalized health recommendations. Additionally, the article examines international experiences, key benefits, current limitations, and the future prospects of integrating AI tools into healthcare systems. The findings highlight the growing significance of digital technologies in combating cardiovascular diseases and shaping the future of predictive medicine.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare
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