AI-enabled ECG could speed up Heart Failure Diagnosis and Treatment


In the instance of seeking emergency care for shortness of breath, a routine electrocardiogram enhanced by artificial intelligence is better to determine if the cause is heart failure, says a new study published in the Circulation: Arrhythmia and Electrophysiology.

Meanwhile, it is difficult for physicians in emergency departments to determine the reason for shortness of breath. For this, AI-enabled ECG serves to provide a rapid and effective method to examine these patients for left ventricular systolic dysfunction.

Physiologically, the left ventricle provides most of the pumping power to the heart. Thus, it is larger than other chambers of the heart and essential for normal function. In the instance of left ventricular systolic dysfunction, the left ventricle weakens and must work harder to continue to supply adequate blood to the body.

Elevated Blood Biomarkers related to several conditions

Typically, in any year, about 1.2 million people need to go emergency departments because of shortness of breath. In the current year, the numbers are far higher because difficulty in breathing is one of the key symptoms of COVID-19 infection. In the event heart problem is suspected, patients in the emergency room usually need to undertake an ECG – a quick 10 second procedure to record the electrical activity of the heart.

Meanwhile, abnormality in an ECG raises concerns about underlying cardiac conditions but does not reveal anything specific for heart failure. And, physicians at emergency departments rely on blood levels of natriuretic peptides. In the event of a heart failure, these biomarkers are elevated in the blood. However, the level of these biomarkers is also affected by obesity, kidney disease, age, high blood pressure, severe infection, specific heart failure medication, high blood pressure in the vessels that supply blood to the lungs, , and abnormal heart rhythms.

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