Background
Cardiovascular Disease (CVD) is still the top cause of death in the world, killing 17.9 million people every year. Traditional hospital-based tracking systems have problems, like finding problems later, checking on patients only sometimes, and making them hard to get to. Wearable biosensors, electrocardiograms (ECG) powered by artificial intelligence (AI), and remote patient monitoring (RPM) are some of the noninvasive digital health technologies (DHTs) that have changed cardiovascular care. These improvements make tracking possible all the time, which helps with early diagnosis, risk assessment, and patient outcomes.
Methods
Noninvasive heart monitoring devices augmented with artificial intelligence have been the subject of a comprehensive review of recent clinical trials (2023–2024). The validity of diagnoses, effectiveness in clinical settings, and implications for healthcare delivery have been the primary focus of these investigations. Data from credible sources on RPM systems, smartwatches, PPGs, and AI-powered electrocardiograms have been examined.
Results
The findings demonstrate that autonomous AI devices may now produce diagnoses that are on par with electrocardiograms performed in hospitals. Even up to an hour before a cardiovascular event occurs, predictive algorithms can detect it. Atrial fibrillation was detectable by smartwatches and portable electrocardiogram equipment with sensitivity levels greater than 90%. Hospitalizations for heart failure decreased by 33.1% and medication adherence increased by 20-30% in the CHAMPION Trial (2023) with remote tracking.
Conclusions
A new generation of noninvasive digital health instruments is revolutionizing the treatment of cardiovascular diseases. Healthcare has shifted from a reactive to a proactive one. Continuous cardiovascular monitoring using wearable AI and RPM systems has the potential to become standard practice, reducing the need for patients to attend emergency rooms while also improving their long-term health. Cardiology and preventative healthcare will soon be even more individualized thanks to AI-powered digital twins and smart textiles embedded with electrocardiogram (ECG) sensors.