With CAC’s automatic segmentation of the heart and surrounding structures, CAC can accurately analyze the calcified plaques in coronary arteries.
Accurate calcification detection in coronary arteries
ROBINSCA* clinical examination of 997 non-contrast ECG CT images Performance evaluation was performed through CAC detection and quantification.
*ROBINSCA : Risk Or Benefit IN Screening for CArdiovascular disease
Medical AI diagnostic accuracy: 99.2%
Detection and classification concordance: 87%
Agatston score concordance: 95%
Diagnoses are also available from chest CTs
Coronary artery calcification can be quantified not only on heart CT images but also on chest CT images, helping early detection, and reducing patient exposure.
Kernel conversion AI technology is applied.
Entirely automated process
Pre-analysis is possible with fully automatic work procedures, and reports containing accurate and detailed results can be used in clinical practice.
