New AI model uses ECG images to evaluate heart failure risk. a multinational study in European Heart Journal.
New AI model uses ECG images to evaluate heart failure risk. a multinational study in European Heart Journal.
13 January, 2025
Researchers have developed an advanced model that uses electrocardiogram (ECG) images to assess heart failure risk, sharing their findings in European Heart Journal.
The algorithm explored data from more than 231,000 patients
Overall, a positive screen using the new AI tool was associated with a four- to 24-fold higher risk of new-onset heart failure than a negative result. This association was confirmed to still exist even when accounting for comorbidities and the risk of death.
“Using a photograph of a 12-lead ECG as its input, the model was able to accurately stratify heart failure risk
So we can now predict who is at risk of developing heart failure in the future, well before they show overt symptoms.
“Every time a clinician obtains an ECG—a test that is already part of standard clinical care—this simple tool now offers an opportunity for screening and risk stratification for cardiovascular disease,” added senior author Rohan Khera, an assistant professor of medicine with Yale School of Medicine. “The broad availability of ECG technology, even where resources are limited, enables early intervention and improved outcomes for patients who might otherwise go undiagnosed.”
https://academic.oup.com/eurheartj/advance-article-abstract/doi/10.1093/eurheartj/ehae914/7953184
