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Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China
by
Sun, Jing, MD
,
Feng, Tienan, MD
,
Wang, Bo, BS
,
Li, Fen, Prof
,
Han, Bo, Prof
,
Chu, Maoping, Prof
,
Gong, Fangqi, Prof
,
Yi, Qijian, Prof
,
Zhou, Xin, MD
,
Chen, Sun, Prof
,
Sun, Xin, Prof
,
Sun, Kun, Prof
Published in
The Lancet. Digital health
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The Lancet. Digital Health
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Artificial Intelligence
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Child
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Child, Preschool
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China
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Echocardiography
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Female
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General & Internal Medicine
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Heart Septal Defects, Ventricular - Diagnostic Imaging
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Humans
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Infant
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Informatics
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Internal Medicine
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Life Sciences & Biomedicine
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Machine Learning
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Male
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Medical Informatics
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Natural Language Processing
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Remission, Spontaneous
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