Predicting Risks Without Surgery
AI Heart Scans Redefine Precision Cardiac Care
New software quantifies plaque buildup to predict heart attacks and eliminate invasive diagnostic procedures.

A cardiologist reviews a 3D digital model of a human heart on a medical monitor, showing AI-detected plaque in the arteries.
Photo: Avantgarde News
AI-enabled software is revolutionizing cardiology by using advanced algorithms to analyze heart CT images with unprecedented precision [1]. This technology allows clinicians to quantify arterial disease and identify specific plaque types—such as soft or calcified—without the need for invasive catheterization [1][2]. By visualizing these details, doctors can more accurately predict future heart attacks and intervene earlier in a patient's care [1][3]. **Predicting Risks Without Surgery** Clinical studies have demonstrated that AI-powered plaque analysis offers up to 95% accuracy compared to traditional invasive reference standards [2]. Platforms like HeartFlow and Cleerly enable physicians to assess blood flow and plaque volume, leading to a significant reduction in unnecessary diagnostic procedures [2][3]. These non-invasive tools are now considered essential for personalized risk stratification and long-term cardiovascular disease management [1][3].
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Avantgarde News Desk covers predicting risks without surgery and editorial analysis for Avantgarde News.