Article Crux
- Using the artificial intelligence is as of now widely available, inexpensive test, which is the electrocardiogram(EKG), the results in a simple, affordable early indicator of a precursor to the heart failure, the scientist revealed.
- “Congestive heart failure afflicts more than 5 million people and consumes more than USD 30 billion in health care expenditures in the US alone,” said Paul Friedman from Mayo Clinic.
Using the artificial intelligence is as of now widely available, inexpensive test, which is the electrocardiogram(EKG), the results in a simple, affordable early indicator of a precursor to the heart failure, the scientist revealed. The test accuracy of the AI/EKG system merely compares of the favorably with the other common screening tests such as the mammography for the breast cancer, according to the scientist research published.
Asymptotic left vernacular dysfunction is highly characterized by the presence of a weak heart pump with a risk of heart failure revealed the researchers from the Mayo clinic in the America. It is also very much associated with the reduced quality of life and longevity. Moreover, the disorder is treatable when identified.
There are no non-invasive, painless and inexpensive screening tools which is available as of now for the asymptomatic left vernacular dysfunction available for the diagnostic use, the researchers revealed. The study also found that the best existing screening test for the asymphiotic left ventricular dysfunction is to measure the natriuretic peptide levels but the results of the BNP have been so much disappointing. The test also requires the blood draws.
“Congestive heart failure afflicts more than 5 million people and consumes more than USD 30 billion in health care expenditures in the US alone,” said Paul Friedman from Mayo Clinic.
“The ability to acquire a ubiquitous, easily accessible, inexpensive recording in 10 seconds — the EKG — and to digitally process it with AI to extract new information about previously hidden heart disease holds great promise for saving lives and improving health,” he said.
The researchers hypothesized that asymptomatic left the ventricular dysfunction could also be reliably detected in the EKG by a properly trained neural network. With the help of a stored digital data, 625326 paired EKG and transthoracic echocardiograms were also screened to identify the population to be studied hard for the analysis.
“In other words, the test not only identified asymptomatic disease but also predicted the risk of future disease, presumably by identifying very early, subtle EKG changes that occur before heart muscle weakness,” said Friedman.
