Using Artificial Intelligence to Optimize the Use of Cardiac Investigations in Patients With Suspected Coronary Artery Disease-Reference-Cited by-同舟云学术

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Using Artificial Intelligence to Optimize the Use of Cardiac Investigations in Patients With Suspected Coronary Artery Disease

Published:2024-03 Issue:3 Volume:3 Page:101305
ISSN:2772-9303
Container-title:Journal of the Society for Cardiovascular Angiography & Interventions
language:en
Short-container-title:Journal of the Society for Cardiovascular Angiography & Interventions

Author:

Schwalm J.D.^ORCID,Sheth Tej,Pinilla-Echeverri Natalia,Petch Jeremy

Publisher

Elsevier BV

Reference6 articles.

1. Low diagnostic yield of elective coronary angiography;Patel;N Engl J Med,2010

2. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data;Haase;BMJ,2019

3. AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR guideline for the evaluation and diagnosis of chest pain: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines;Gulati;Circulation,2021

4. Centralized triage of suspected coronary artery disease using coronary computed tomographic angiography to optimize the diagnostic yield of invasive angiography;Schwalm;CJC Open,2023

5. Implementation of an all-day artificial intelligence-based triage system to accelerate door-to-balloon times;Wang;Mayo Clin Proc,2022

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