2023
Severe aortic stenosis detection by deep learning applied to echocardiography
Holste G, Oikonomou E, Mortazavi B, Coppi A, Faridi K, Miller E, Forrest J, McNamara R, Ohno-Machado L, Yuan N, Gupta A, Ouyang D, Krumholz H, Wang Z, Khera R. Severe aortic stenosis detection by deep learning applied to echocardiography. European Heart Journal 2023, 44: 4592-4604. PMID: 37611002, PMCID: PMC11004929, DOI: 10.1093/eurheartj/ehad456.Peer-Reviewed Original ResearchConceptsSevere aortic stenosis
2018
A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology
Slart RHJA, Glaudemans AWJM, Lancellotti P, Hyafil F, Blankstein R, Schwartz RG, Jaber WA, Russell R, Gimelli A, Rouzet F, Hacker M, Gheysens O, Plein S, Miller EJ, Dorbala S, Donal E, Group D. A joint procedural position statement on imaging in cardiac sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology. Journal Of Nuclear Cardiology 2018, 25: 298-319. PMID: 29043557, DOI: 10.1007/s12350-017-1043-4.Peer-Reviewed Original ResearchMeSH KeywordsBiopsyCardiologyCardiomyopathiesDiagnostic ImagingEchocardiographyEuropeFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedInflammationMyocardial Perfusion ImagingNuclear MedicinePositron-Emission TomographyPrognosisRadionuclide ImagingReproducibility of ResultsSarcoidosisSocieties, MedicalTomography, X-Ray ComputedUnited States