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How I went from Apple Watch skeptic to devotee in one health scare.

Yale 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.

In a new study published in Nature Cancer, researchers found that a new test, called ORACLE, can better predict patient survival than the current clinical standard, even at the earliest stage of cancer. The findings are based on prospective data from 158 patient records.

Rohan Khera, MD, assistant professor of medicine (cardiovascular medicine) and of biostatistics (health informatics) at Yale School of Medicine, discusses how AI can revolutionize the detection of heart conditions.

Using an artificial intelligence program to read echocardiograms may reduce the wait time for results and help lead to more timely medical care, according to late-breaking science presented Nov. 16 at the American Heart Association's Scientific Sessions 2024.

Seven Yale School of Medicine faculty receive Yale Faculty Innovation Awards.

Rohan Khera, MD, MS, discusses his review in the Journal of the American College of Cardiology, which highlights artificial intelligence developments in cardiovascular medicine. The review also provides an overview of future uses of AI in clinical practice and highlights areas of caution.

Yale faculty, trainees, postdocs, and students will present research at the upcoming American Heart Association Scientific Sessions in Chicago later this month.

The National Institutes of Health (NIH) recently granted Rohan Khera, MD, MS, a $3.8 million R01 award for his project, “Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular Care.” This is the first systematic study to examine potential approaches to extract individualized information from randomized clinical trials.