Cargando…
A Retrospective Clinical Evaluation of an Artificial Intelligence Screening Method for Early Detection of STEMI in the Emergency Department
BACKGROUND: Rapid revascularization is the key to better patient outcomes in ST-elevation myocardial infarction (STEMI). Direct activation of cardiac catheterization laboratory (CCL) using artificial intelligence (AI) interpretation of initial electrocardiography (ECG) might help reduce door-to-ball...
Autores principales: | Kim, Dongsung, Hwang, Ji Eun, Cho, Youngjin, Cho, Hyoung-Won, Lee, Wonjae, Lee, Ji Hyun, Oh, Il-Young, Baek, Sumin, Lee, Eunkyoung, Kim, Joonghee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921208/ https://www.ncbi.nlm.nih.gov/pubmed/35289140 http://dx.doi.org/10.3346/jkms.2022.37.e81 |
Ejemplares similares
-
Hyperkalemia Detection in Emergency Departments Using Initial ECGs: A Smartphone AI ECG Analyzer vs. Board-Certified Physicians
por: Kim, Donghoon, et al.
Publicado: (2023) -
Feasibility of Artificial Intelligence–Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study
por: Park, Jiesuck, et al.
Publicado: (2023) -
A data-driven artificial intelligence model for remote triage in the prehospital environment
por: Kim, Dohyun, et al.
Publicado: (2018) -
Artificial Intelligence-Assisted Image Analysis of Acetaminophen-Induced Acute Hepatic Injury in Sprague-Dawley Rats
por: Baek, Eun Bok, et al.
Publicado: (2022) -
Prognostic impact of atrial fibrillation in patients with severe acute respiratory syndrome coronavirus 2 infection
por: Lee, Ji Hyun, et al.
Publicado: (2021)