AI vs. human: who reads hydration better?
NCT ID NCT07419048
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This pilot study compares how well artificial intelligence (AI) and human sonographers can measure hydration status using ultrasound of the inferior vena cava. Fifty healthy adults will be scanned by both an experienced and a beginner sonographer, with and without AI assistance, before and after a fluid challenge. The goal is to see if AI can reliably assess hydration, which could simplify future monitoring.
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 leading to faster, more consistent assessments in clinical settings.
- What could go wrong
- This is a small pilot study in healthy volunteers, not patients. The results may not apply to sick or dehydrated individuals, and the AI may not perform as well in real-world conditions.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University Hospital Basel, Endocrinology, Diabetes and Metabolism
RECRUITINGBasel, 4031, Switzerland