Artificial intelligence coronary computed tomography, coronary computed tomography angiography using fractional flow reserve, and physician visual interpretation in the per-vessel prediction of abnormal invasive adenosine fractional flow reserve.
Andrew ChiouMelody HermelRajbir SidhuEric HuAlexander van RosendaelSamantha BagsicEmem UdohRicardo KosturakisMohammad AzizChristina Rodriguez RuizShawn NewlanderBahram KhadiviJason Parker BrownMartin L CharlatPaul S TeirsteinCurtiss T StinisRichard SchatzMatthew J PriceJeffrey CavendishMichael SalernoAustin RobinsonSanjeev BhavnaniJorge GonzalezGeorge E WesbeyPublished in: European heart journal. Imaging methods and practice (2024)
revealed greater specificity, PPV, accuracy, and AUC vs. CT-FFR and physician visual interpretation CAD-RADS ≥ 3.
Keyphrases
- artificial intelligence
- coronary artery disease
- computed tomography
- coronary artery
- image quality
- primary care
- machine learning
- dual energy
- emergency department
- big data
- deep learning
- positron emission tomography
- contrast enhanced
- magnetic resonance imaging
- aortic stenosis
- magnetic resonance
- left ventricular
- structural basis