AP NEWS
Press release content from NewMediaWire. The AP news staff was not involved in its creation.
PRESS RELEASE: Paid content from NewMediaWire
Press release content from NewMediaWire. The AP news staff was not involved in its creation.

Artificial intelligence could use EKG data to measure patient’s overall health status

August 27, 2019

Study Highlights:

Researchers applying artificial intelligence to electrocardiogram data estimated the age group of a patient and predicted their gender.

Artificial intelligence could more accurately track overall health status by determining ‘physiologic age’ – distinct from chronological age.

Embargoed until 4 a.m. CT / 5 a.m. ET, Tuesday, August 27, 2019

( NewMediaWire ) - August 27, 2019 - DALLAS - 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.

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.

“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,” said study author Suraj Kapa, M.D., assistant professor of medicine and director for Augmented and Virtual Reality Innovation at Mayo Clinic in Rochester, Minnesota. 

“Being able to more accurately assess overall health status may help doctors determine which patients they should examine further to determine if there are asymptomatic or currently silent diseases that could benefit from early diagnosis and intervention. For people at large, an AI-enhanced electrocardiogram could better show there may be something going on such as a new health issue or comorbid condition that they were otherwise unaware of,” continued Kapa.

Researchers discovered that the artificial intelligence was able to accurately determine a patient’s gender 90% of the time and could determine the chronological age group of a patient with 72% accuracy.

“This evidence — that we might be gleaning some sort of ‘physiologic age’ — was certainly both surprising and exciting for its potential role in future outcomes research, and may foster a new area of science where we seek to better understand the biologic underpinnings of such a finding,” Kapa said.

While the study was able to draw from a large sample size, all individuals in the study were patients, and EKGs were administered for another clinical indication. Future studies with an overtly healthy population are needed to revalidate the neural network’s determination. Additionally, gender in the study was self-identified by patients and may not represent the sex of all individuals in the study.

Co-authors are Zachi Attia, M.Sc.; Paul A. Friedman, M.D.; Peter A. Noseworthy, M.D.; Francisco Lopez-Jimenez, M.D., M.Sc.; Dorothy Ladewig, B.S.; Gaurav Satam, M.S., MBA; Patricia A. Pellikka, M.D.; Thomas M. Munger, M.D.; Samuel J. Asirvatham, M.D.; Christopher G. Scott, M.S.; and Rickey E. Carter, Ph.D. Author disclosures are in the manuscript.

This study was funded by institutional funds at Mayo Clinic for data collection and statistical analyses.

Additional Resources:

Available multimedia is on right column of release link - https://newsroom.heart.org/news/artificial-intelligence-could-use-ekg-data-to-measure-patients-overall-health-status?preview=caacd1de68a791ec32e4f8ffe7739621

After Aug. 27, view the manuscript online.

AHA Electrocardiogram resource

AHA Heart Attack resource

Follow AHA/ASA news on Twitter @HeartNews

###

Statements and conclusions of study authors published in American Heart Association scientific journals are solely those of the study authors and do not necessarily reflect the Association’s policy or position. The Association makes no representation or guarantee as to their accuracy or reliability. The Association receives funding primarily from individuals; foundations and corporations (including pharmaceutical, device manufacturers and other companies) also make donations and fund specific Association programs and events. The Association has strict policies to prevent these relationships from influencing the science content. Revenues from pharmaceutical and device corporations and health insurance providers are available at https://www.heart.org/en/about-us/aha-financial-information.

About the American Heart Association

The American Heart Association is a relentless force for a world of longer, healthier lives. We are dedicated to ensuring equitable health in all communities. Through collaboration with numerous organizations, and powered by millions of volunteers, we fund innovative research, advocate for the public’s health and share lifesaving resources. The Dallas-based organization has been a leading source of health information for nearly a century. Connect with us on  heart.orgFacebookTwitter  or by calling 1-800-AHA-USA1.   

For Media Inquiries and AHA/ASA Expert Perspective: 214-706-1173

William Westmoreland: 214-706-1232; william.westmoreland@heart.org

For Public Inquiries: 1-800-AHA-USA1 (242-8721)

heart.org and strokeassociation.org