In a new study led by Yale School of Medicine’s Cardiovascular Data Science (CarDS) Lab, researchers developed an artificial intelligence (AI) tool that can identify individuals at high risk of developing heart failure using electrocardiogram (ECG) images. The new tool enables earlier identification of heart failure, potentially reducing hospitalizations and premature death, the researchers said.
The study was published online in the European Heart Journal.
ECGs are noninvasive tests that…
Article Source
https://medicine.yale.edu/news-article/new-ai-tool-identifies-risk-of-future-heart-failure/
