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.
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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The Hospital for Sick Children
RECRUITINGToronto, M5G1X8, Canada
Contact Phone: •••-•••-•••• Email: •••••@•••••