Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning

Author:

Dai Wangzhi,Nazzari Hamed,Namasivayam Mayooran,Hung Judy,Stultz Collin M.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference7 articles.

1. 2020 ACC/AHA guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines;Otto;Circulation,2021

2. Evaluation and management of patients with aortic stenosis;Carabello;Circulation,2002

3. Fast and accurate view classification of echocardiograms using deep learning;Madani;NPJ Digit Med,2018

4. Predicting post-operative right ventricular failure using video-based deep learning;Shad;Nat Comm,2021

5. Huang Z, Long G, Wessler B, et al. A new semi-supervised learning bench-mark for classifying view and diagnosing aortic stenosis from echocardio-grams. Proceedings of Machine Learning Research; volume 149, 2021. Proceedings of the 6th Machine Learning for Healthcare Conference.

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