Webinar with Q&A – Watch Video

AI helps “see” beyond conventional lipid profiles.

In our seventh Transforming Cardiac Care webinar, we examined the conventional approaches to evaluating heart disease risk factors, such as cholesterol levels, and their limitations when determining heart health. AI-enabled coronary computed tomography angiography analysis, also called AI-QCT, can improve coronary artery disease diagnosis and support physicians in their determination of an individual’s risk of heart attack. AI-QCT can reveal the full picture of the heart's health, including the current atherosclerotic burden, types of plaque and stenoses in the coronary arteries. Physicians can use these insights to create tailored therapy that can effectively and dramatically transform high-risk, fatty plaques to stabilized, lower risk plaque.



Louis B. Malinow, MD

Director of Education and Clinical Excellence, MDVIP

Dr. Malinow is a board-certified internist practicing in Baltimore, Maryland. He is also a lipidologist and a hypertension specialist (prior certification). He is the Director of Education and Clinical Excellence for MDVIP, which is a national network of approximately 1,100 concierge-style physicians. He sits on multiple scientific advisory boards for companies focused on wellness and early disease identification. He’s been named a Top Doctor in Baltimore for many years and has been named one of the top 25 concierge physicians in the country. He operates a concierge-style practice in Baltimore.

James K. Min, MD

James K. Min, MD

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.

James P. Earls, MD

James P. Earls, MD

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.


Watch the webinar for a review of conventional approaches, limitations, and cases where AI-QCT was used for diagnosis and treatment, including a special post-presentation Q&A with the presenters.

Conventional Approaches

Review lipidology, blood pressure and other traditional markers in the diagnosis of heart disease.

Diagnostic Limitations

Examine the limitations of considering only cholesterol and blood pressure to determine heart attack risk.

AI-QCT Case Studies

Learn how AI-QCT can aid tailored disease treatment by examining diagnostic scenarios.

The Full Picture

See how providers can use lipidology with AI-QCT to see a full picture of heart health.

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The Cleerly webinars are open to any cardiologist, radiologist or other healthcare professional with an interest in breakthrough medtech for heart disease and prevention.