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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; Oerlemans, Marish Ifj.
Afiliação
  • Muller SA; Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, Netherlands. s.a.muller-5@umcutrecht.nl.
  • Hauptmann L; Division of Medicine, Department of Cardiology, Johns Hopkins University, Baltimore, MD, US. s.a.muller-5@umcutrecht.nl.
  • Nitsche C; Member of the European Reference Network for rare, low prevalence and complex diseases of the heart: ERNGUARD-Heart', . s.a.muller-5@umcutrecht.nl.
  • Oerlemans MI; Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Article em En | MEDLINE | ID: mdl-39331132

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Eur J Nucl Med Mol Imaging Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Eur J Nucl Med Mol Imaging Ano de publicação: 2024 Tipo de documento: Article