The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

Milagros Pereyra Pietri; Juan M Farina; Ahmed K Mahmoud; Isabel G Scalia; Francesca Galasso; Michael E Killian; Mustafa Suppah; Courtney R Kenyon; Laura M Koepke; Ratnasari Padang; et al.

doi:10.1093/ehjdh/ztae022

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The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

Journal article

Peer reviewed

The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

Milagros Pereyra Pietri, Juan M Farina, Ahmed K Mahmoud, Isabel G Scalia, Francesca Galasso, Michael E Killian, Mustafa Suppah, Courtney R Kenyon, Laura M Koepke, Ratnasari Padang, …

European heart journal. Digital health, Vol.5(3), pp.295-302

05/01/2024

DOI: https://doi.org/10.1093/ehjdh/ztae022

PMID: 38774378

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Title: The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement
Creators: Milagros Pereyra Pietri - , ,
Juan M Farina - Mayo Clinic
Ahmed K Mahmoud - Mayo Clinic
Isabel G Scalia - Mayo Clinic
Francesca Galasso - Mayo Clinic
Michael E Killian - Mayo Clinic
Mustafa Suppah - Mayo Clinic
Courtney R Kenyon - Mayo Clinic
Laura M Koepke - Mayo Clinic
Ratnasari Padang - Mayo Clinic
et al.
Publication Details: European heart journal. Digital health, Vol.5(3), pp.295-302
Publisher: Oxford University Press
Number of pages: 8
Identifiers: 991006323902702656
Academic Unit: Cardiology
Language: English
Resource Type: Journal article