Explanatory deep learning to predict elevated pulmonary artery pressure in children with ventricular septal defects using standard chest x-rays: a novel approach

Explanatory deep learning to predict elevated pulmonary artery pressure in children with ventricular septal defects using standard chest x-rays: a novel approach

ObjectiveEarly risk assessment of pulmonary arterial hypertension (PAH) in patients with congenital heart disease (CHD) is crucial to ensure timely treatment. We hypothesize that applying artificial intelligence (AI) to chest x-rays (CXRs) could identify the future risk of PAH in patients with ventr...

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Bibliographic Details
Main Authors: Zhixin Li, Gang Luo, Zhixian Ji, Sibao Wang, Silin Pan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
pulmonary arterial hypertension
chest x-ray
ventricular septal defect
deep learning—artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1330685/full

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