The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review

The study concludes that AI and ML techniques can improve the accuracy of CVD classification, prediction, diagnosis, and monitoring. The integration of multiple data sources and noninvasive methods supports continuous monitoring and early detection. These advancements help enhance CVD management and patient outcomes, indicating the potential for AI to offer more precise and cost-effective solutions in health care.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-03-06
DOI
https://doi.org/10.2196/64349
Citations
17
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
23.60
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article

The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review

Luís B. Elvas, João C. Ferreira, Ana Isabel Almeida
17 citations
JMIR Medical Informatics
ECG Monitoring and Analysis
23.60
article

The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review

Luís B. Elvas, João C. Ferreira, Ana Isabel Almeida
article en
17 citations

Abstract

The study concludes that AI and ML techniques can improve the accuracy of CVD classification, prediction, diagnosis, and monitoring. The integration of multiple data sources and noninvasive methods supports continuous monitoring and early detection. These advancements help enhance CVD management and patient outcomes, indicating the potential for AI to offer more precise and cost-effective solutions in health care.

JMIR Medical InformaticsVol. 13
Iscte – Instituto Universitário de Lisboa (PT), Molde University College (NO), Instituto de Novas Tecnologias (PT)
Openalex Percentile: Top 0%
ECG Monitoring and Analysis
23.60
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