Digital technology and artificial intelligence for improving congenital heart disease care: alea iacta est-Reference-Cited by-同舟云学术

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Digital technology and artificial intelligence for improving congenital heart disease care: alea iacta est

Published:2024-02-08 Issue:16 Volume:45 Page:1386-1389
ISSN:0195-668X
Container-title:European Heart Journal
language:en
Short-container-title:

Author:

Bruce Charo¹,Gatzoulis Michael A¹²^ORCID,Brida Margarita¹²³^ORCID

Affiliation:

1. Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton and Harefield Hospitals, Guys & St Thomas’s NHS Trust , Sydney Street, London SW3 6NP , UK

2. National Heart & Lung Institute, Imperial College , South Kensington Campus, London SW7 2AZ , UK

3. Medical Faculty University of Rijeka , Ul. Braće Branchetta 20/1, 51000 Rijeka , Croatia

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/eurheartj/article-pdf/45/16/1386/57295316/ehad898.pdf

Reference10 articles.

1. Adult congenital heart disease: past, present, future;Brida;Int J Cardiol Congenital Heart Dis,2020

2. Feasibility of digital stethoscopes in telecardiology visits for interstage monitoring in infants with palliated congenital heart disease;Stagg;Pediatr Cardiol,2023

3. Artificial intelligence-assisted auscultation in detecting congenital heart disease;Lv;Eur Heart J Digit Health,2021

4. Wearable biosensors in congenital heart disease: needs to advance the field;Tandon;JACC Adv,2023

5. Novel wearable seismocardiography and machine learning algorithms can assess clinical status of heart failure patients;Inan;Circ Heart Fail,2018

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