Clinical Validation of a Deep Learning Algorithm for Automated Coronary Artery Disease Detection and Classification Using a Heterogeneous Multivendor Coronary Computed Tomography Angiography Data Set.
Emanuele MuscogiuriMarly van AssenGiovanni TessarinAlexander C RazaviMax SchoebingerMichael WelsMehmet Akif GulsunPuneet SharmaGeorge S K FungCarlo N De CeccoPublished in: Journal of thoracic imaging (2024)
The DL algorithm demonstrated robust performance and excellent agreement with the expert readers' analysis for the evaluation of CAD, which also corresponded with significantly reduced image analysis time.
Keyphrases
- deep learning
- coronary artery disease
- machine learning
- artificial intelligence
- convolutional neural network
- coronary artery
- cardiovascular events
- percutaneous coronary intervention
- coronary artery bypass grafting
- big data
- electronic health record
- clinical practice
- type diabetes
- computed tomography
- cardiovascular disease
- aortic valve
- data analysis