AI ultrasound could predict Baby's weight more easily

NCT ID NCT07661433

Recruiting now Diagnosis Sponsor: University of North Carolina, Chapel Hill Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 09, 2026 · Updated 2 times

Summary

This study tests an artificial intelligence (AI) tool that estimates a baby's weight from ultrasound videos. Researchers will compare the AI's estimates to standard measurements and the actual birth weight. The goal is to see if the AI tool is accurate enough to help doctors, especially when specialists are not available.

What this could mean

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

Active substance: AI diagnostic ultrasound tool
What this could lead to: If successful, this AI tool could provide a quick, easy way to estimate fetal weight, potentially improving care in settings without specialist ultrasound expertise.
What could go wrong: This is an early-stage study focused on accuracy, not patient outcomes. The AI tool is for research only and not yet ready for clinical use. Results may not apply to all pregnancies.

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.

Fetal Weight

As listed by the trial registrant

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

FETAL WEIGHT MACHINE LEARNING PREGNANCY PREGNANCY - PRENATAL TESTING

Contacts and locations

Locations

Ochsner Health
NOT_YET_RECRUITING

New Orleans, Louisiana, 70115, United States
University Teaching Hospital
NOT_YET_RECRUITING

Lusaka, Zambia
University of North Carolina
RECRUITING

Chapel Hill, North Carolina, 27516, United States
University of Rwanda
NOT_YET_RECRUITING

Kigali, Rwanda
University of Saskatchewan
NOT_YET_RECRUITING

Saskatoon, Saskatchewan, Canada

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