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Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy

Introduction: The 30–50% non-response rate to cardiac resynchronization therapy (CRT) calls for improved patient selection and optimized pacing lead placement. The study aimed to develop a novel technique using patient-specific cardiac models and machine learning (ML) to predict an optimal left vent...

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Detalles Bibliográficos
Autores principales:	Dokuchaev, Arsenii, Chumarnaya, Tatiana, Bazhutina, Anastasia, Khamzin, Svyatoslav, Lebedeva, Viktoria, Lyubimtseva, Tamara, Zubarev, Stepan, Lebedev, Dmitry, Solovyova, Olga
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Physiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367108/ https://www.ncbi.nlm.nih.gov/pubmed/37497440 http://dx.doi.org/10.3389/fphys.2023.1162520

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