AI watchdog aims to spot deteriorating kids before It's too late
NCT ID NCT07304050
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This pilot study tests an AI system called PICTURE-Pediatric that alerts hospital staff when a child's condition might worsen in the next 24 hours. The system gives a score and sends notifications to doctors and nurses. The study will enroll 375 clinicians to see if they follow the alerts at least 80% of the time. No patients are directly enrolled, and the goal is to improve early detection of deterioration in children.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
PICTURE-Pediatric AI early warning system (device)
What this could lead to
If successful, this system could help hospital staff spot early signs of a child's condition getting worse, potentially preventing emergencies.
What could go wrong
This is a small pilot study focused on whether clinicians follow the alerts, not yet on patient outcomes. The system may not work in all hospital settings or may cause alert fatigue.
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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University of Michigan
RECRUITINGAnn Arbor, Michigan, 48109, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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