Ignite Creation Date:
2026-03-26 @ 3:20 PM
Ignite Modification Date:
2026-03-31 @ 9:21 PM
Study NCT ID:
NCT07375602
Status:
NOT_YET_RECRUITING
Last Update Posted:
2026-01-29
First Post:
2026-01-21
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
A Multimodal AI Prediction Model for Complications After Transcatheter Closure of Perimembranous VSD in Children
Sponsor:
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Organization:
Study Overview
Official Title:
Multimodal Clinical Data Integration and Artificial Intelligence Modeling for Predicting Complications Following Pediatric Transcatheter Closure of Perimembranous Ventricular Septal Defect
Status:
NOT_YET_RECRUITING
Status Verified Date:
2026-01
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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, echocardiography reports, chest radiographs, and electrocardiogram accurately predict the risk of complications at the individual patient level? Data will be retrospectively collected from routine clinical care records of pediatric patients who underwent transcatheter closure for pmVSD. Deep learning methods will be used to extract features from text and images to train and validate the prediction model.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: