Cargando…
Digital health innovation in cardiology
Autores principales: | Ladejobi, Adetola O., Cruz, Jessica, Attia, Zachi I., van Zyl, Martin, Tri, Jason, Lopez-Jimenez, Francisco, Noseworthy, Peter A., Friedman, Paul A., Kapa, Suraj, Asirvatham, Samuel J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452824/ https://www.ncbi.nlm.nih.gov/pubmed/32924023 http://dx.doi.org/10.1016/j.cvdhj.2020.07.003 |
Ejemplares similares
-
Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series
por: Attia, Zachi I., et al.
Publicado: (2020) -
Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study
por: Attia, Zachi I., et al.
Publicado: (2018) -
The 12-lead electrocardiogram as a biomarker of biological age
por: Ladejobi, Adetola O, et al.
Publicado: (2021) -
Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
por: Attia, Zachi I., et al.
Publicado: (2019) -
AI ENHANCED ECG ENABLED RAPID NON-INVASIVE EXCLUSION OF SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2 (SARS-COV-2) INFECTION
por: Attia, Zachi Itzhak, et al.
Publicado: (2021)