AI ultrasound could predict Baby's weight more easily
NCT ID NCT07661433
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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.
Disclaimer
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This is a summary of
the original study
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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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Ochsner Health
New Orleans, Louisiana, 70115, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University Teaching Hospital
Lusaka, Zambia
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University of North Carolina
Chapel Hill, North Carolina, 27516, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University of Rwanda
Kigali, Rwanda
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University of Saskatchewan
Saskatoon, Saskatchewan, Canada
Contact Phone: •••-•••-•••• Email: •••••@•••••