AI Use In ECG Data Analysis In Cardiac Disease Patient

Artificial intelligence (AI) has enhanced electrocardiography (ECG), making it a promising method for the accurate diagnosis and management of cardiovascular diseases. A commonly used, affordable, and easily accessible test, the conventional ECG provides crucial information regarding the physiological and anatomical condition of the heart. However, depending on the level of training and expertise of the interpreter, individuals may interpret the ECG differently, which could complicate diagnosis.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-25
DOI
https://doi.org/10.5281/zenodo.16417645
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Use In ECG Data Analysis In Cardiac Disease Patient

Zenodo (CERN European Organization for Nuclear Research)
ECG Monitoring and Analysis
article

AI Use In ECG Data Analysis In Cardiac Disease Patient

article en

Abstract

Artificial intelligence (AI) has enhanced electrocardiography (ECG), making it a promising method for the accurate diagnosis and management of cardiovascular diseases. A commonly used, affordable, and easily accessible test, the conventional ECG provides crucial information regarding the physiological and anatomical condition of the heart. However, depending on the level of training and expertise of the interpreter, individuals may interpret the ECG differently, which could complicate diagnosis.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
ECG Monitoring and Analysis
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AI Use In ECG Data Analysis In Cardiac Disease Patient · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS