AI reads heart scans to predict which children will develop serious complications
NCT ID NCT07662343
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study explores whether artificial intelligence can predict which children with a type of heart hole (perimembranous ventricular septal defect) will later develop complications like valve problems or blockages. Researchers will analyze past echocardiogram reports and medical records from over 11,000 children across six hospitals in China. The goal is to build a computer model that uses natural language processing to extract clues from written descriptions, potentially offering an early warning system for at-risk children.
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 AI model could help doctors identify children at risk of heart complications earlier, potentially guiding timely interventions.
What could go wrong
This is an observational study using past data, so the model may not work perfectly in new patients or hospitals. It is not a treatment and does not directly change patient care.
Disclaimer
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the original study
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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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Locations
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Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, 200092, China