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

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

doi: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

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

Research output: Contribution to journal › Editorial › Academic › peer-review

Original language	English
Pages (from-to)	482-484
Number of pages	3
Journal	European Journal of Nuclear Medicine and Molecular Imaging
Volume	52
Issue number	2
Early online date	27 Sept 2024
DOIs	https://doi.org/10.1007/s00259-024-06928-y
Publication status	Published - Jan 2025

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10.1007/s00259-024-06928-y

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

author = "Muller, {Steven A} and Laurenz Hauptmann and Christian Nitsche and Oerlemans, {Marish Ifj}",

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language = "English",

volume = "52",

pages = "482--484",

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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 et al.
In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 52, No. 2, 01.2025, p. 482-484.

Research output: Contribution to journal › Editorial › Academic › peer-review

TY - JOUR

T1 - Utilizing artificial intelligence to detect cardiac amyloidosis in patients with severe aortic stenosis

T2 - A step forward to diagnose the underdiagnosed

AU - Muller, Steven A

AU - Hauptmann, Laurenz

AU - Nitsche, Christian

AU - Oerlemans, Marish Ifj

PY - 2025/1

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DO - 10.1007/s00259-024-06928-y

M3 - Editorial

C2 - 39331132

SN - 1619-7070

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JO - European Journal of Nuclear Medicine and Molecular Imaging

JF - European Journal of Nuclear Medicine and Molecular Imaging

IS - 2

ER -

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

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