Cargando…
Deep learning-based electrocardiographic screening for chronic kidney disease
BACKGROUND: Undiagnosed chronic kidney disease (CKD) is a common and usually asymptomatic disorder that causes a high burden of morbidity and early mortality worldwide. We developed a deep learning model for CKD screening from routinely acquired ECGs. METHODS: We collected data from a primary cohort...
Autores principales: | Holmstrom, Lauri, Christensen, Matthew, Yuan, Neal, Weston Hughes, J., Theurer, John, Jujjavarapu, Melvin, Fatehi, Pedram, Kwan, Alan, Sandhu, Roopinder K., Ebinger, Joseph, Cheng, Susan, Zou, James, Chugh, Sumeet S., Ouyang, David |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220039/ https://www.ncbi.nlm.nih.gov/pubmed/37237055 http://dx.doi.org/10.1038/s43856-023-00278-w |
Ejemplares similares
-
Delayed intrinsicoid deflection: Electrocardiographic harbinger of heart disease
por: Aiken, Achilles V., et al.
Publicado: (2022) -
Artificial Intelligence in Ventricular Arrhythmias and Sudden Death
por: Holmström, Lauri, et al.
Publicado: (2023) -
High-Throughput Assessment of Real-World Medication Effects on QT Interval Prolongation: Observational Study
por: Yuan, Neal, et al.
Publicado: (2023) -
Deep learning evaluation of biomarkers from echocardiogram videos
por: Hughes, J Weston, et al.
Publicado: (2021) -
Blinded, randomized trial of sonographer versus AI cardiac function assessment
por: He, Bryan, et al.
Publicado: (2023)