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Accurately assessing congenital heart disease using artificial intelligence

Congenital heart disease (CHD) remains a significant global health challenge, particularly contributing to newborn mortality, with the highest rates observed in middle- and low-income countries due to limited healthcare resources. Machine learning (ML) presents a promising solution by developing pre...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali
Format: Artigo
Sprache:Inglês
Veröffentlicht: PeerJ Inc. 2024-11-01
Schriftenreihe:PeerJ Computer Science
Schlagworte:
Congenital heart disease
Parental ultrasound
Critical aortic stenosis
Hypoplastic left heart syndrome
Echocardiography
ML algorithms
Online-Zugang:https://peerj.com/articles/cs-2535.pdf
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