Researchers have developed a deep learning model, known as CXR-CVD risk,
that uses a single chest X-ray to predict the 10-year risk of death from a
heart attack or stroke caused by atherosclerotic cardiovascular disease.The CXR-CVD risk model was developed using over 145,000 chest X-rays from
40,643 participants in the cancer screening trial and later tested on the
second independent cohort of 11,430 outpatients. The model is trained to
search X-ray images to find patterns associated with the disease.
that uses a single chest X-ray to predict the 10-year risk of death from a
heart attack or stroke caused by atherosclerotic cardiovascular disease.The CXR-CVD risk model was developed using over 145,000 chest X-rays from
40,643 participants in the cancer screening trial and later tested on the
second independent cohort of 11,430 outpatients. The model is trained to
search X-ray images to find patterns associated with the disease.
Currently, a 10-year risk of major adverse cardiovascular disease events is
estimated by considering factors such as age, blood pressure, and smoking,
among others. Those with an increased risk are prescribed a statin, a drug
reducing levels of cholesterol in the blood
