AI could help babies avoid unnecessary kidney surgery
NCT ID NCT07581223
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests an AI tool that analyzes ultrasound images to help doctors decide if a baby with hydronephrosis (kidney swelling) needs surgery. About 322 infants up to 24 months old will take part. Doctors first make a care plan without the AI, then see the AI's prediction and can change their plan. A separate expert makes the final decision to ensure safety. The goal is to see if the AI improves decision-making and reduces the need for invasive tests.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-driven decision-making tool (machine learning model)
- What this could lead to
- If successful, this AI tool could help doctors make faster, more accurate decisions about whether a baby with kidney swelling needs surgery, reducing unnecessary invasive tests.
- What could go wrong
- This is an early-stage study testing how well the AI fits into real-world care. It may not improve decisions or could be difficult to integrate into busy clinics.
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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.
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Other studies related to the condition(s) this trial covers.
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