Скачать или смотреть Transforming the Diagnosis and Treatment of Coronary Artery Disease with Machine Learning

Heart disease is the leading cause of death globally and contributes trillions of dollars in healthcare costs worldwide. Heart disease is difficult to diagnose using noninvasive testing and millions of patients require invasive tests that are ultimately negative, incurring risk and cost. Using data from a standard cardiac CT scan, the noninvasive HeartFlow Analysis creates a personalized 3D model of the coronary arteries using deep learning methods and analyzes the impact that blockages have on blood flow. This session will discuss how HeartFlow uses the scalability and elasticity of the AWS cloud to help clinicians identify significant coronary artery disease and determine the optimal treatment pathway.

Session Speakers: Roy Ben Alta, Charles Taylor (Session M15)