Utilizing artificial intelligence to detect cardiac amyloidosis in patients with severe aortic stenosis: A step forward to diagnose the underdiagnosed

Muller, Steven A; Hauptmann, Laurenz; Nitsche, Christian; Oerlemans, Marish Ifj

doi:https://doi.org/10.1007/s00259-024-06928-y

Utilizing artificial intelligence to detect cardiac amyloidosis in patients with severe aortic stenosis: A step forward to diagnose the underdiagnosed

DSpace/Manakin Repository

Utilizing artificial intelligence to detect cardiac amyloidosis in patients with severe aortic stenosis: A step forward to diagnose the underdiagnosed

Muller, Steven A; Hauptmann, Laurenz; Nitsche, Christian; Oerlemans, Marish Ifj

(2025) European Journal of Nuclear Medicine and Molecular Imaging, volume 52, issue 2, pp. 482 - 484

(Editorial)

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Keywords: Radiology Nuclear Medicine and imaging, Editorial

DOI: https://doi.org/10.1007/s00259-024-06928-y

ISSN: 1619-7070

Publisher: Springer-Verlag

(Peer reviewed)