Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.
Kenichi NakajimaTakashi KudoTomoaki NakataKeisuke KisoTokuo KasaiYasuyo TaniguchiShinro MatsuoMitsuru MomoseMasayasu NakagawaMasayoshi SaraiSatoshi HidaHirokazu TanakaKunihiko YokoyamaKoichi OkudaLars EdenbrandtPublished in: European journal of nuclear medicine and molecular imaging (2017)
The ANN was diagnostically accurate in various clinical settings, including that of patients with previous myocardial infarction and coronary revascularization. The ANN could help to diagnose coronary artery disease.
Keyphrases
- neural network
- coronary artery disease
- percutaneous coronary intervention
- coronary artery bypass grafting
- cardiovascular events
- ms ms
- deep learning
- heart failure
- mass spectrometry
- coronary artery
- left ventricular
- convolutional neural network
- optical coherence tomography
- liquid chromatography tandem mass spectrometry
- liquid chromatography
- high performance liquid chromatography
- tandem mass spectrometry
- aortic stenosis
- cardiovascular disease
- acute coronary syndrome
- solid phase extraction