AI watchdog aims to spot deteriorating kids before It's too late

NCT ID NCT07304050

Recruiting now Knowledge-focused Sponsor: University of Michigan Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Clinical Deterioration

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CLINICAL DETERIORATION

Contacts and locations

Locations

University of Michigan
RECRUITING

Ann Arbor, Michigan, 48109, United States

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