Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays-Reference-Cited by-同舟云学术

Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays

Published:2024-01-31 Issue:1 Volume:65 Page:29-38
ISSN:1349-2365
Container-title:International Heart Journal
language:en
Short-container-title:Int. Heart J.

Author:

Sawano Shinnosuke¹,Kodera Satoshi¹,Sato Masataka¹,Shinohara Hiroki¹,Kobayashi Atsushi¹,Takiguchi Hiroshi¹,Hirose Kazutoshi¹,Kamon Tatsuya¹,Saito Akihito¹,Kiriyama Hiroyuki¹,Miura Mizuki¹,Minatsuki Shun¹,Kikuchi Hironobu¹,Takeda Norifumi¹,Morita Hiroyuki¹,Komuro Issei¹

Affiliation:

1. Department of Cardiovascular Medicine, The University of Tokyo Hospital

Publisher

International Heart Journal (Japanese Heart Journal)

Link

https://www.jstage.jst.go.jp/article/ihj/65/1/65_23-402/_pdf

Reference24 articles.

1. 1. Benjamin EJ, Muntner P, Alonso A, et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation 2019; 139: e56-e528.

2. 2. Roth GA, Johnson C, Abajobir A, et al. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. J Am Coll Cardiol 2017; 70: 1-25.

3. 3. Nakano S, Kohsaka S, Chikamori T, et al. JCS 2022 Guideline Focused Update on Diagnosis and Treatment in Patients With Stable Coronary Artery Disease. Circ J 2022; 86: 882-915.

4. 4. Breen CJ, Kelly GP, Kernohan WG. ECG interpretation skill acquisition: A review of learning, teaching and assessment. J Electrocardiol 2022; 73: 125-8.

5. 5. Petinaux B, Bhat R, Boniface K, Aristizabal J. Accuracy of radiographic readings in the emergency department. Am J Emerg Med 2011; 29: 18-25.