AI could help predict risks for kids after heart surgery
NCT ID NCT07375602
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
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.
Disclaimer
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
RECRUITINGShanghai, Shanghai Municipality, 200092, China
Contact Phone: •••-•••-•••• Email: •••••@•••••