Stroke: Researchers use AI model to predict a person's 10-year risk

Researchers developed a deep learning model using artificial intelligence(AI) for the current study. The team used a CXR-CVD system that was "trained" to search more than 147,000 chest X-ray images from almost 41,000 participants in a cancer screening trial and spot patterns associated with cardiovascular disease. Once developed, the system could predict a person's 10-year risk of having a stroke or heart attack from a single chest X-ray. Lead study author Jakob Weiss, Ph.D., a radiologist with the Cardiovascular Imaging Research Center at Massachusetts General Hospital and the AI in Medicine program at the Brigham and Women's Hospital in Boston, explained to MNT: "Current guidelines of the American College of Cardiology and American Heart Association on the primary prevention of cardiovascular disease recommend the use of a risk calculator to estimate the risk of future CVD. This risk calculator is based on the ASCVD risk score, a multivariable regression model requiring nine variables as input, such as age, sex, smoking, lipids, blood pressure, and diabetes. However, these variables are often not available, which makes novel and more practical screening approaches desirable."