Implementation of an All-Day Artificial Intelligence–Based Triage System to Accelerate Door-to-Balloon Times-Reference-Cited by-同舟云学术

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Implementation of an All-Day Artificial Intelligence–Based Triage System to Accelerate Door-to-Balloon Times

Published:2022-12 Issue:12 Volume:97 Page:2291-2303
ISSN:0025-6196
Container-title:Mayo Clinic Proceedings
language:en
Short-container-title:Mayo Clinic Proceedings

Author:

Wang Yu-Chen,Chen Ke-Wei,Tsai Being-Yuah,Wu Mei-Yao,Hsieh Po-Hsin,Wei Jung-Ting,Shih Edward S.C.,Shiao Yi-Tzone,Hwang Ming-Jing,Chang Kuan-Cheng

Funder

China Medical University Hospital

Ministry of Science and Technology, Taiwan

China Medical University Second Hospital

Publisher

Elsevier BV

Subject

General Medicine

Reference32 articles.

1. Trends in reperfusion strategies, door-to-needle and door-to-balloon times, and in-hospital mortality among patients with ST-segment elevation myocardial infarction enrolled in the National Registry of Myocardial Infarction from 1990 to 2006;Gibson;Am Heart J,2008

2. Effect of prehospital triage on revascularization times, left ventricular function, and survival in patients with ST-elevation myocardial infarction;Sivagangabalan;Am J Cardiol,2009

3. Pharmacological facilitation of primary percutaneous coronary intervention for acute myocardial infarction: is the slope of the curve the shape of the future?;Gersh;JAMA,2005

4. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines;O'Gara;J Am Coll Cardiol,2013

5. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation

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1. Artificial neural networks for ECG interpretation in acute coronary syndrome: A scoping review;The American Journal of Emergency Medicine;2024-09

2. Artificial Intelligence–Powered Rapid Identification of ST-Elevation Myocardial Infarction via Electrocardiogram (ARISE) — A Pragmatic Randomized Controlled Trial;NEJM AI;2024-06-27

3. Cardiac Point-of-Care Ultrasound in Critical Care: Evolution, Current State, and Future Prospects;Current Pulmonology Reports;2024-05-08

4. Using Artificial Intelligence to Optimize the Use of Cardiac Investigations in Patients With Suspected Coronary Artery Disease;Journal of the Society for Cardiovascular Angiography & Interventions;2024-03

5. Automatic triage of twelve-lead electrocardiograms using deep convolutional neural networks: a first implementation study;European Heart Journal - Digital Health;2023-11-08

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