In a new study led by Yale School of Medicine's Cardiovascular Data Science Lab, researchers developed an artificial intelligence tool that can identify individuals at high risk of developing heart failure using electrocardiogram images. The new tool enables earlier identification of heart failure, potentially reducing hospitalizations and premature death, the researchers said.
