Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …

Wearable devices, such as smartwatches and activity trackers, are commonly used by
patients in their everyday lives to manage their health and well-being. These devices collect …

Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-
risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions …

The collection of large, heterogeneous electronic datasets and imaging from patients with
cardiovascular disease (CVD) has lent itself to the use of sophisticated analysis using …

Digital technology is now an integral part of medicine. Tools for detecting, screening,
diagnosis, and monitoring health-related parameters have improved patient care and …

Ambulatory monitoring is increasingly important for cardiovascular care but is often limited
by the unpredictability of cardiovascular events, the intermittent nature of ambulatory …

Purpose Several artificial intelligence (AI) models for the detection and prediction of
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …

Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide,
necessitating innovative approaches to improve diagnostic accuracy, treatment efficacy, and …

Technological innovations reach deeply into our daily lives and an emerging trend supports
the use of commercial smart wearable devices to manage health. In the era of remote …