New AI tool aims to predict kidney failure in sick kids

NCT ID NCT06804200

Recruiting now Knowledge-focused Sponsor: Adam C Dziorny Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study is testing whether a computer algorithm can accurately predict acute kidney injury in children admitted to the intensive care unit. Researchers will enroll 800 children and use the algorithm to assess risk, but the results will not be shared with doctors during the study. The goal is to see if the tool can identify kidney problems earlier than current methods.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a reliable early warning system for kidney injury in children in intensive care, allowing doctors to intervene sooner.
What could go wrong: This is an observational study, not a treatment trial. The algorithm may not be accurate enough in real-world use, and results may not apply to all hospitals or patient groups.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for ACUTE KIDNEY INJURY are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

acute kidney injury

As listed by the trial registrant

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

ACUTE KIDNEY INJURY

Contacts and locations

Locations

Golisano Children's Hospital at Strong
RECRUITING

Rochester, New York, 14642, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.