Plain-English translation of NCT07375602 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building an artificial intelligence model that learns from medical records, heart scans, and test results to predict which children might develop complications after a special heart procedure. This study focuses on children who have a small hole in the heart wall (called a perimembranous ventricular septal defect) that is being closed using a catheter-based device rather than open surgery. By collecting data from many children who have already had this procedure, the researchers hope to create a tool that can help doctors predict complications before they happen.
Currently, doctors cannot easily predict which children will experience problems after this heart procedure, even though complications can occur. This AI model could help doctors identify high-risk patients before their procedure and provide extra monitoring or care to prevent or catch problems early.
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This is not an active treatment trial—you will not need to visit the hospital repeatedly. Instead, researchers will review your existing medical records, test results, heart imaging scans, and chest X-rays that were already collected as part of your standard care. The study team will use this information to help build and test their prediction model. If you are eligible, your records will be included in the research, but you won't need to undergo any new procedures or take any new medications.
AI-generated summary from trial data · Aug 9, 2026 · Not medical advice
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