A Multimodal AI Prediction Model for Complications After Transcatheter Closure of Perimembranous VSD in Children
Recruiting
Observational Study
Congenital Heart Disease (CHD)
Ventricular Septal Defects (VSD)
Cardiac Catheterization
Postoperative Complications
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About This Trial
The goal of this observational study is to develop and validate a multimodal artificial intelligence prediction model for treatment-related complications in children with perimembranous ventricular septal defect (pmVSD) undergoing transcatheter device closure. The main question it aims to answer is: Can an AI model that integrates demographics, laboratory results, electronic health record text, ec…
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Eligibility Criteria
Inclusion Criteria:
* Age ≤ 18 years at the time of transcatheter procedure.
* Diagnosis of perimembranous ventricular septal defect confirmed by echocardiography, and underwent transcatheter device closure at the study center.
* Medical records sufficient to ascertain the primary outcome within th…
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