Cargando…
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms
BACKGROUND: There is increasing evidence that 12-lead electrocardiograms (ECG) can be used to predict biological age, which is associated with cardiovascular events. However, the utility of artificial intelligence (AI)-predicted age using ECGs remains unclear. METHODS: Using a single-center database...
Autores principales: | Hirota, Naomi, Suzuki, Shinya, Motogi, Jun, Nakai, Hiroshi, Matsuzawa, Wataru, Takayanagi, Tsuneo, Umemoto, Takuya, Hyodo, Akira, Satoh, Keiichi, Arita, Takuto, Yagi, Naoharu, Otsuka, Takayuki, Yamashita, Takeshi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841236/ https://www.ncbi.nlm.nih.gov/pubmed/36654885 http://dx.doi.org/10.1016/j.ijcha.2023.101172 |
Ejemplares similares
-
Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithm
por: Suzuki, Shinya, et al.
Publicado: (2022) -
Identification of patients with dilated phase of hypertrophic cardiomyopathy using a convolutional neural network applied to multiple, dual, and single lead electrocardiograms()
por: Hirota, Naomi, et al.
Publicado: (2023) -
Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease
por: Hirota, Naomi, et al.
Publicado: (2021) -
A novel and simple scoring system for assessing the indication for catheter ablation in patients with atrial fibrillation: The HEAL‐AF Score
por: Otsuka, Takayuki, et al.
Publicado: (2020) -
Relationship between resting 12-lead electrocardiogram and all-cause death in patients without structural heart disease: Shinken Database analysis
por: Hirota, Naomi, et al.
Publicado: (2021)