Accuracy of Artificial Intelligence-Based Automated Quantitative Coronary Angiography Compared to Intravascular Ultrasound: Retrospective Cohort Study.

In Tae Moon Sun-Hwa Kim Jung Yeon Chin Sung Hun Park Chang Hwan Yoon Tae Jin Youn Si-Hyuck Kang Si-Hyuck Kang

Published in: JMIR cardio (2023)

AI-QCA showed a moderate to strong correlation compared with IVUS in analyzing coronary lesions with significant stenosis. The main discrepancy was in the perception of the distal margins by AI-QCA, and the correction of margins improved the correlation coefficients. We believe that this novel tool could provide confidence to treating physicians and help in making optimal clinical decisions.

Keyphrases

artificial intelligence
machine learning
deep learning
big data
coronary artery
primary care
coronary artery disease
magnetic resonance imaging
high intensity
high resolution
minimally invasive
high throughput
heart failure
ultrasound guided
mass spectrometry
aortic valve
contrast enhanced ultrasound