MAXIMIZE CLINICAL UTILITY WITH AI AND BEST PRACTICES
Watch the Webinar
Our fifth webinar in the Transforming Cardiac Care series is an informative discussion about the emergence of CCTA as a more effective approach to heart attack prevention. When enabled by artificial intelligence, and supported by the right training, equipment, and protocols, non-invasive CCTA offers a level of clinical efficacy that outperforms SPECT and other gold standards currently used to evaluate CAD.
Associate Professor of Medicine and Radiology, University of Pittsburgh
Dr. Bittencourt is Associate Professor of Medicine and Radiology at the University of Pittsburgh and director of the Cardiac CT program of the Heart and Vascular Institute at the University of Pittsburgh Medical Center. He is associate editor for Circulation: Cardiovascular Imaging and for the Arquivos Brasileiros de Cardiologia, the Brazilian journal of cardiology.
Founder and Chief Executive Officer, Cleerly Inc.
Dr. Min is a globally recognized authority on cardiovascular imaging and physician scientist who understands the inter-relationships between non-invasive imaging, coronary angiography and revascularization.
Chief Medical Officer, Cleerly Inc.
Dr. Earls is a Professor of Radiology at George Washington University Hospital and a leader within the field of Radiology in applications of advanced imaging technologies in cardiovascular care.
Expert insights on achieving the highest possible CCTA image quality for more accurate analysis.
Review ACC/AHA and ACR training guidelines for cardiac CT certification, discuss how training differs for physicians, technologists, and nurses, and learn the required CT system scanner standards and contrast injector protocols.
Discuss the contraindications for CCTA and how patients should be evaluated and prepared prior to the scan.
Learn current optimal scan protocols to avoid radiation issues and optimize image quality, and discuss the use cases and protocols for retrospective, prospective, and high pitch prospective scans.
Discover how AI-enabled CCTA evaluation is used to guide analysis and treatment for higher quality, personalized patient care.