AI can help predict risk of heart disease complications, study shows

Scientists at University of Utah Health in Salt Lake City partnered with Salt Lake City-based Intermountain Primary Children's Hospital physicians to use an artificial intelligence tool to examine whether a patient is susceptible to heart disease, according to a study published Jan. 18 in PLOS Digital Health.

The researchers and physicians used electronic health records to identify conditions associated with cardiovascular disease. They then combined the EHR records with a probabilistic graphical network, an AI program, to calculate how many of those conditions would lead a patient to become at-risk for heart disease, heart transplants or sinoatrial node dysfunction. 

The study found that the most at-risk adults had a medical history of cardiomyopathy, viral myocarditis or using the heart failure drug milrinone.

Patients who had a combination of these were at greater risk, according to the study. 

The researchers said they believe this technology has the potential to help physicians treat, prevent or even foresee if a patient might be at-risk for heart conditions.

Copyright © 2022 Becker's Healthcare. All Rights Reserved. Privacy Policy. Cookie Policy. Linking and Reprinting Policy.

 

Featured Whitepapers

Featured Webinars