Can AI beat humans at reading hydration on ultrasound?
NCT ID NCT07419048
First seen Feb 22, 2026 · Last updated Jun 21, 2026 · Updated 17 times
Summary
This pilot study compares how well artificial intelligence (AI) and human sonographers can measure the inferior vena cava (a large vein) using ultrasound to assess hydration status. Fifty healthy adults will have ultrasound scans before and after a fluid challenge, with measurements taken by both experienced and beginner sonographers, as well as by an AI system. The goal is to see if AI can reliably measure hydration, which could help standardize this assessment in the future.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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University Hospital Basel, Endocrinology, Diabetes and Metabolism
RECRUITINGBasel, 4031, Switzerland
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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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 show that AI can reliably measure hydration status using ultrasound, potentially making hydration assessment faster and more consistent.
What could go wrong
This is a small pilot study in healthy volunteers, not patients. The results may not apply to sick people, and the AI may not perform as well in real-world settings.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.