AI vs. human: who reads hydration better?

NCT ID NCT07419048

First seen Feb 22, 2026 · Last updated Apr 24, 2026 · Updated 9 times

Summary

This study tests whether an artificial intelligence (AI) system can measure hydration status using ultrasound images of a large vein in the belly, compared to experienced and beginner human operators. Fifty healthy adults will have their vein scanned before and after a fluid challenge that mimics being overhydrated. The goal is to see if AI is reliable and feasible for this type of imaging.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • University Hospital Basel, Endocrinology, Diabetes and Metabolism

    RECRUITING

    Basel, 4031, Switzerland

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

Conditions

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