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ABSTRACT: Background
Cardiovascular diseases remain the leading cause of mortality worldwide, accounting for 18 million deaths annually. Detection and prediction of cardiovascular conditions are essential for timely intervention and improved patient outcomes. Wearable devices offer a promising, noninvasive solution for continuous monitoring of cardiovascular signals, vital signs, and physical activity. However, the large data volumes generated by these devices and the rapid fluctuations in cardiovascular signals necessitate advanced artificial intelligence (AI) techniques for real-time analysis and effective clinical decision-making.Objective
The objective of this scoping review was to identify the main challenges of AI-driven platforms for real-time cardiovascular condition monitori
SUBMITTER: Abedi A
PROVIDER: S-EPMC12777649 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature