Can artificial intelligence-assisted auscultation become the Heimdallr for diagnosing congenital heart disease?-Reference-Cited by-同舟云学术

Can artificial intelligence-assisted auscultation become the Heimdallr for diagnosing congenital heart disease?

Published:2021-02-12 Issue:1 Volume:2 Page:117-118
ISSN:2634-3916
Container-title:European Heart Journal - Digital Health
language:en
Short-container-title:

Author:

Ou Yanqiu¹

Affiliation:

1. Department of Epidemiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, #96 Dongchuan Road, Guangzhou 510080, China

Publisher

Oxford University Press (OUP)

Link

http://academic.oup.com/ehjdh/advance-article-pdf/doi/10.1093/ehjdh/ztab016/36246680/ztab016.pdf

Reference9 articles.

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2. Can we improve the perinatal outcomes and early postnatal survival of fetuses with congenital heart disease by initiating specialized prenatal consultation service?;Qu;Clinics Mother Child Health,2020

3. Neonatal Congenital Heart Disease screening group. Pulse oximetry with clinical assessment to screen for congenital heart disease in neonates in China: a prospective study;Zhao;Lancet,2014

4. Heart sound classification based on improved MFCC features and convolutional recurrent neural networks;Deng;Neural Netw,2020

5. Artificial intelligence-assisted auscultation of heart murmurs: validation by virtual clinical trial;Thompson;Pediatric Cardiology,2019

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2. Role of artificial intelligence in early detection of congenital heart diseases in neonates;Frontiers in Digital Health;2024-01-11

3. Audiological Diagnosis of Valvular and Congenital Heart Diseases in the Era of Artificial Intelligence;Reviews in Cardiovascular Medicine;2023-06-14

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