This project consists of two complementary projects in the radiology space. The Cardiac Risk App targets the annually 20 million stable chest pain patients in Europe, of which only an estimated 50 % receive per-guideline care as prediction rules for cardiac risk assessment in paper format and tables are underused.

The mobile phone app aims to allow a targeted analysis in a highly accessible way in most care settings, thereby aiming to improve the rate of per-guideline care for stable chest pain patients. Cardiac CT analysis (CTA) today is a complex, manual analysis by experienced radiologists to quantify stenosis and characterize plaque. Given this complexity, manual analysis is time-consuming and costly. The intended solution aims at utilizing machine learning technology for automated image analysis as input for analysis and final assessment by the radiologist. 

The team consists of highly experienced radiologists and researchers, in addition to machine learning experts and software developers.