AI models improve the accuracy of diagnosing coronary artery

Several recent discoveries show that the accuracy of diagnosing coronary artery disease and predicting patient risk is improved with the help of artificial intelligence (AI) models developed by scientists in the Division of Artificial Intelligence in Medicine at Cedars-Sinai.

Related Keywords

United States , Americans , Sumeet Chugh , Piotr Slomka , Emily Henderson , Journal Of Nuclear Medicine , Smidt Heart Institute , Journal Of American College Cardiology , Division Of Artificial Intelligence In Medicine , European Journal Of Nuclear Medicine , Division Of Artificial , Blood Institute , National Heart , Artificial Intelligence , Nuclear Medicine , American College , Cardiovascular Imaging , European Journal , Molecular Imaging , Heart , Arrhythmia , Flood , Ardiology , Computed Tomography , Coronary Artery Disease , It , Deep Learning , Iagnostic , Heart Attack , Heart Failure , Maging , Medicine , Muscle , Fact , Research , Omography ,