An electrocardiogram, abbreviated ECG, is a test used by doctors to record the electrical activity of patients' hearts. ECG is a painless and non-invasive procedure. Scientists have used artificial intelligence to use ECG data to predict a person's age and sex. With further advancement, scientists could help doctors determine the overall health status of a patient. The research team from the Mayo Clinic in Rochester had published a paper titled "Circulation: Arrhythmia and Electrophysiology."

An electrocardiogram, abbreviated ECG, is a test used by doctors to record the electrical activity of patients' hearts. ECG is a painless and non-invasive procedure. Scientists have used artificial intelligence to use ECG data to predict a person's age and sex. With further advancement, scientists could help doctors determine the overall health status of a patient. The research team from the Mayo Clinic in Rochester had published a paper titled "Circulation: Arrhythmia and Electrophysiology."

Soon, physicians may be able to apply artificial intelligence to electrocardiogram (EKG) data in order to measure overall health status, according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association. While it's known that a patient's sex and age could affect an EKG, researchers hypothesized that artificial intelligence could determine a patient's gender and estimate their'physiologic age'--a measure of overall body function and health status distinct from chronological age. Using EKG data of almost 500,000 patients, a type of artificial intelligence known as a convolutional neural network was trained to find similarities among the input and output data. Once trained, the neural network was tested for accuracy on the data of an additional 275,000 patients by predicting the output when only given input data. "While physicians already consider whether a patient'appears [their] stated age' as part of their baseline physical examination, the ability to more objectively and consistently assess this may impact healthcare on multiple levels," says study author Suraj Kapa, MD, assistant professor of medicine and director for Augmented and Virtual Reality Innovation at Mayo Clinic in Rochester, Minn.

An electrocardiogram, also known as an ECG or EKG, is a painless, simple test that records the electrical activity of a person's heart. A recent paper in the journal Circulation: Arrhythmia and Electrophysiology, describes how the team developed an artificial intelligence (AI) tool to predict sex and estimate age from ECG data. The researchers, from the Mayo Clinic College of Medicine and Science, in Rochester, MN, trained the AI tool, which is of a type known as a convolutional neural network (CNN), using ECG readouts from nearly 500,000 individuals. When they tested the CNN's accuracy on a further 275,000 people, they found that it was very good at predicting sex but less good at predicting age. The AI tool got the sex right 90% of the time but only got the age right 72% of the time.

In the near future, doctors may be able to apply artificial intelligence to electrocardiogram data in order to measure overall health status, according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association. An electrocardiogram, also known as an EKG or ECG, is a test used to measure the electrical activity of the heart. While it's known that a patient's sex and age could affect an EKG, researchers hypothesized that artificial intelligence could determine a patient's gender and estimate their'physiologic age' -- a measure of overall body function and health status distinct from chronological age. Using EKG data of almost 500,000 patients, a type of artificial intelligence known as a convolutional neural network was trained to find similarities among the input and output data. Once trained, the neural network was tested for accuracy on the data of an additional 275,000 patients by predicting the output when only given input data.

In the not-too-distant future, medical professionals might be able to apply AI to electrocardiogram data in order to measure a patient's overall health status. This is according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association. An electrocardiogram - also called an EKG or ECG - is a test used to measure the electrical activity of the heart. A patient's sex and age can have an effect on how an EKG turns out. That's why the team of researchers built an AI that could determine a patient's gender and estimate their'physiologic age' - an indicator of overall health that is different from chronological age.

An electrocardiogram, also known as an EKG or ECG, is a test used to measure the electrical activity of the heart. While it's known that a patient's sex and age could affect an EKG, researchers hypothesized that artificial intelligence could determine a patient's gender and estimate their'physiologic age' -- a measure of overall body function and health status distinct from chronological age. Using EKG data of almost 500,000 patients, a type of artificial intelligence known as a convolutional neural network was trained to find similarities among the input and output data. Once trained, the neural network was tested for accuracy on the data of an additional 275,000 patients by predicting the output when only given input data. The neural network estimated a patient's chronological age as higher after experiencing adverse health situations such as heart attack, low ejection fraction and coronary artery disease, and lower age if they experienced few or no adverse events.

The future applicability of using ECG-predicted age is promising, Kapa said, especially given how quick and easy a test it is to perform. "Can we use it to say whether or not somebody might be afflicted by certain diseases that just haven't been diagnosed yet? Or might it reflect a situation where we need to investigate further for other incident diseases like diabetes or hypertension?" he asked. "The vast majority of the population in fact aren't'patients,' and so there's a lot more undiagnosed disease than there is diagnosed and having an easy way of knowing in whom to investigate for the evidence of disease becomes something very important, especially with rising costs in the healthcare system."

In the near future, doctors may be able to apply artificial intelligence to electrocardiogram data in order to measure overall health status, according to new research published in Circulation: Arrhythmia and Electrophysiology, a journal of the American Heart Association. An electrocardiogram, also known as an EKG or ECG, is a test used to measure the electrical activity of the heart. While it's known that a patient's sex and age could affect an EKG, researchers hypothesized that artificial intelligence could determine a patient's gender and estimate their'physiologic age'--a measure of overall body function and health status distinct from chronological age. Using EKG data of almost 500,000 patients, a type of artificial intelligence known as a convolutional neural network was trained to find similarities among the input and output data. Once trained, the neural network was tested for accuracy on the data of an additional 275,000 patients by predicting the output when only given input data.