AI could help spot kids at risk of heart crisis
NCT ID NCT06886529
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether a machine-learning model can predict serious heart events in children admitted to the hospital. The model alerts doctors when a child may need a palliative care consultation. Researchers will compare outcomes before and after the model is used, involving about 1,000 pediatric cardiology patients.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- machine-learning model
- What this could lead to
- If successful, this could help doctors identify children at risk of serious heart events earlier and involve palliative care teams sooner.
- What could go wrong
- This is an early-stage study testing a prediction tool, not a treatment. The model may not improve outcomes or may lead to unnecessary consultations.
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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
Locations
-
The Hospital for Sick Children
RECRUITINGToronto, M5G1X8, Canada
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