AI could help predict risks for kids after heart surgery

NCT ID NCT07375602

Recruiting now Knowledge-focused Sponsor: Xinhua Hospital, Shanghai Jiao Tong University School of Medicine Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Aug 06, 2026 · Updated 3 times

Summary

This study aims to create an artificial intelligence (AI) model that can predict complications in children who have a common heart defect called a ventricular septal defect (VSD) repaired with a catheter-based procedure. Researchers will analyze data from over 5,000 children's medical records, including lab results, images, and text reports. The goal is to see if the AI can accurately identify which children are at higher risk for problems like irregular heartbeats or valve issues after the procedure.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a tool that helps doctors better predict which children are at risk for complications after heart surgery, allowing for more personalized care.
What could go wrong: This is an observational study, not a treatment trial. The AI model may not be accurate enough for real-world use, and results may not apply to all hospitals or patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

congenital heart disease Postoperative Complications ventricular septal defect

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CARDIAC CATHETERIZATION CONGENITAL HEART DISEASE (CHD) POSTOPERATIVE COMPLICATIONS VENTRICULAR SEPTAL DEFECTS (VSD)

Contacts and locations

Locations

Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
RECRUITING

Shanghai, Shanghai Municipality, 200092, China

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