FDA Clears AI Software to Enhance CCTA Detection of Coronary Artery Disease
Through AI-powered assessment of coronary computed tomography angiography (CCTA) scans, the CaRi-Plaque software may provide improved clarity on the development of coronary plaques and luminal stenosis.
Offering the promise of improved insights into coronary plaques and luminal stenosis, the artificial intelligence (AI)-enabled CaRi-Plaque software has garnered 510(k) clearance from the Food and Drug Administration (FDA).
Through evaluation of coronary computed tomography angiography (CCTA) scans, reports generated with the CaRi-Plaque software provide actionable insights on plaque burden, total plaque volume, maximum stenosis, calcified plaque volume and other quantitative measures for coronary vessels, according to Caristo Diagnostics, the developer of CaRi-Plaque.
Offering quantitative insights into the extent and severity of coronary plaque and luminal stenosis based on AI assessment of coronary computed tomography angiography (CCTA) scans, the CaRi-Plaque software has garnered 510(k) clearance from the Food and Drug Administration (FDA). (Image courtesy of Caristo Diagnostics.)
By ascertaining the extent and severity of coronary plaque and luminal stenosis, Caristo Diagnostics said the CaRi-Plaque software may facilitate earlier detection of coronary artery disease (CAD) in high-risk patients.
"We stand on the brink of revolution in the prevention and treatment of coronary disease, thanks to Caristo's ability to analyze plaque and inflammation on coronary CT scans," said Stephen A. Bloom, M.D., a cardiologist and director of advance imaging at Midwest Heart & Vascular Specialists in Kansas City. "This advancement enables us to diagnose early stages of coronary disease, even before a coronary CT calcium score becomes positive, allowing for earlier intervention and treatment.”
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
