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Peer-Reviewed Publication
Heart Rhythm2026;23(7):e1100-e1111.July 1, 2026Journal Article

Improving transthyretin cardiac amyloidosis detection from electrocardiograms through the Willem artificial intelligence platform.

Esther González-López1, Ruben Abbou2, Rafael López-García2, Mariana Brandão3, Lucía Perard3, Nerea Mora-Ayestaran3, Cecilia Niro3, Gabriela Uriarte3, María de Miguel3, Ewa Dziewiecka3, Paola Settepassi3, Clara Simón3, Rafael Martín-Portugués3, Ángel de la Linde Valdés2, Víctor Valdés2, Iñigo Sánchez-Rodríguez2, Rubén Ruiz-Zamorano2, François De Guio2, José María Lillo-Castellano2, Manuel Marina-Breysse4, Pablo García-Pavía5
1Hospital Universitario Puerta de Hierro Majadahonda, IDIPHISA, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
2IDOVEN Research, Madrid, Spain.
3Hospital Universitario Puerta de Hierro Majadahonda, IDIPHISA, Madrid, Spain.
4Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; IDOVEN Research, Madrid, Spain.
5Hospital Universitario Puerta de Hierro Majadahonda, IDIPHISA, Madrid, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Myocardial Pathophysiology Area, Madrid, Spain; Universidad Francisco de Vitoria (UFV), Pozuelo de Alarcón, Spain. Electronic address: pablogpavia@yahoo.es.

Abstract

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently underdiagnosed disease in which delay in diagnosis limits the efficacy of treatments. Artificial intelligence (AI) applied to standard 12-lead electrocardiograms (ECGs) is promising and may help improve ATTR-CM early detection. OBJECTIVES: The goals of this study were to extend the Willem AI cloud platform for ATTR-CM dete…

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