Heart Optima AI – Disease Prediction System

One of the most prominent tools for detecting cardiovascular problems is the electrocardiogram (ECG). The electrocardiogram (ECG or EKG) is a diagnostic tool that is used to routinely assess the electrical and muscular functions of the heart. Even though it is a comparatively simple test to perform, the interpretation of the ECG charts requires considerable amounts of training. Till recently, the majority of ECG records were kept on paper. Thus, manually examining and re- examining the ECG paper records often can be a time consuming and daunting process. The system integrates a machine learning model trained on diverse ECG datasets to differentiate between normal and abnormal heart conditions. By automating the diagnostic process, Heart Optima AI aims to assist healthcare professionals in making quicker and more accurate decisions, reducing human error and improving accessibility, especially in remote areas with limited medical expertise. The implementation of this AI-powered solution enhances the efficiency of cardiac disease screening, contributing to the advancement of predictive healthcare and early intervention strategies.

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-02
DOI
https://doi.org/10.48175/ijarsct-24823
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Heart Optima AI – Disease Prediction System

Uttara Gogate, Aniket Bhagirath Jadhav, Omkar Rasve, Dishant Gandhe
International Journal of Advanced Research in Science Communication and Technology
ECG Monitoring and Analysis
article

Heart Optima AI – Disease Prediction System

Uttara Gogate, Aniket Bhagirath Jadhav, Omkar Rasve, Dishant Gandhe
article en

Abstract

One of the most prominent tools for detecting cardiovascular problems is the electrocardiogram (ECG). The electrocardiogram (ECG or EKG) is a diagnostic tool that is used to routinely assess the electrical and muscular functions of the heart. Even though it is a comparatively simple test to perform, the interpretation of the ECG charts requires considerable amounts of training. Till recently, the majority of ECG records were kept on paper. Thus, manually examining and re- examining the ECG paper records often can be a time consuming and daunting process. The system integrates a machine learning model trained on diverse ECG datasets to differentiate between normal and abnormal heart conditions. By automating the diagnostic process, Heart Optima AI aims to assist healthcare professionals in making quicker and more accurate decisions, reducing human error and improving accessibility, especially in remote areas with limited medical expertise. The implementation of this AI-powered solution enhances the efficiency of cardiac disease screening, contributing to the advancement of predictive healthcare and early intervention strategies.

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 89%
ECG Monitoring and Analysis
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