A Study to Measure the Ability of AI-CSQ to SuppoRt The Busy CCTA Reader (SMART-CT)

Michael Morris, MD, director of Cardiac MR and Cardiac CT at Banner Health and Wesley O'Neal, MD, director of cardiac CT and nuclear cardiology at Cone Health, discuss the results of SMART-CT Study. The study looked at the ability of the HeartFlow RoadMap™ Analysis coronary stenosis quantification tool—which helps clinicians to non-invasively identify stenoses in the coronary arteries— in reducing coronary CTA interpretation time, maintaining reader accuracy and confidence, and reducing inter-reader variability. The results showed clinicians read cases 25% faster while maintaining diagnostic accuracy. SMART-CT also demonstrated that the RoadMap Analysis improved overall consistency with reliable CAD diagnoses across all CT readers and amplified their confidence in CCTA reads by over 24%.

"Overall, the study results of SMART-CT demonstrate a unique role for RoadMap to aid coronary CT interpretation in busy clinical practice," O'Neal noted. 

Watch the video above for a deep dive into the details of the study.