AI tool aims to unmask genetic diseases in kids faster

NCT ID NCT06744543

Ongoing Knowledge-focused Sponsor: Vanderbilt University Medical Center Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 26, 2026 · Updated 2 times

Summary

This study tests a computer program called SIGHT that uses information already in a child's medical records to predict if they might have an undiagnosed genetic disease. Researchers will randomly assign 1,000 children visiting their pediatrician to either have their doctor receive a SIGHT alert or not. The goal is to see if the tool helps doctors order genetic tests sooner and find more diagnoses.

What this could mean

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

Active substance: SIGHT prediction model (software tool)
What this could lead to: If successful, this tool could help doctors spot children with hidden genetic diseases earlier, leading to faster diagnosis and better care.
What could go wrong: This is a relatively small, early-stage study testing a prediction model, not a treatment. The tool may not work as expected or may not be adopted widely.

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 CLINICAL DECISION SUPPORT are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

hereditary disease

As listed by the trial registrant

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

CLINICAL DECISION SUPPORT GENETIC DISEASE PEDIATRICS PREDICTIVE MODEL

Contacts and locations

Locations

Vanderbilt University Medical

Nashville, Tennessee, 37232, United States

More trials for these conditions

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