Routine chest CT with AI to assess CVD risk

Routine chest CT with AI to assess CVD risk unknown

Investigators incorporated two artificial intelligence models to evaluate data on coronary calcium and heart muscle chamber sizes from nearly 30,000 patient imaging records. They were able to determine that those measures are a better indicator of cardiac risk than a radiologist’s identification of abnormalities. 

Sumeet Chugh, MD, director of the Division of Artificial Intelligence in Medicine, who was not involved in the study, says this technology allows for large-scale use of existing CT data to spot individuals at risk sooner. “Coronary artery disease is the leading cause of disability and death at a global level,” said Chugh, associate director of the Smidt Heart Institute. “These findings highlight how AI tools could leverage existing CT images performed for lung disease investigation, to make a cost-effective, public health impact on heart disease.” 

The collective group of Cedars-Sinai investigators that developed these findings also included teams from the Smidt Heart Institute, the Biomedical Imaging Research Institute and the Department of Biomedical Sciences. 

Source: Cedars-Sinai