Artificial intelligence–empowered treatment decision-making in patients with aortic stenosis via early detection of cardiac amyloidosis-Reference-Cited by-同舟云学术

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Artificial intelligence–empowered treatment decision-making in patients with aortic stenosis via early detection of cardiac amyloidosis

Published:2024-08-22 Issue: Volume: Page:
ISSN:2634-3916
Container-title:European Heart Journal - Digital Health
language:en
Short-container-title:

Author:

Ribeiro Joana M¹²^ORCID,Nuis Rutger Jan²,de Jaegere Peter P T²

Affiliation:

1. Unidade de Intervenção e Diagnóstico Cardiovascular, Unidade Local de Saúde da Região de Aveiro , Avenida Artur Ravara n° 35, 3810-164 Aveiro , Portugal

2. Department of Cardiology, Thoraxcenter, Erasmus University Medical Center , ‘s-Gravendijkwal 230, 3015 CE, Rotterdam , The Netherlands

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/ehjdh/advance-article-pdf/doi/10.1093/ehjdh/ztae053/58892432/ztae053.pdf

Reference8 articles.

1. The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement;Pereyra Pietri;Eur Heart J Digit Health,2024

2. Treatment decision in aortic stenosis—look at the valve but do not forget the ventricle;Nuis;SN Compr Clin Med,2023

3. Aortic valve stenosis and cardiac amyloidosis: a misleading association;Bonelli;J Clin Med,2021

4. Cardiac amyloidosis and aortic stenosis: a state-of-the-art review;Jaiswal;Eur Heart J Open,2023

5. Screening for occult transthyretin amyloidosis in patients with severe aortic stenosis and amyloid red flags;Jakstaite;J Clin Med,2024

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