AI and ultrasound join forces to spot muscle wasting in Brain-Injured ICU patients

NCT ID NCT07712198

Recruiting now Knowledge-focused Sponsor: Trabzon Kanuni Education and Research Hospital Source: ClinicalTrials.gov ↗

First seen Jul 17, 2026 · Last updated Jul 17, 2026

Summary

This study tests whether artificial intelligence can predict muscle loss (sarcopenia) in intensive care patients with serious brain conditions like stroke, bleeding, or tumors. Researchers will measure thigh muscle thickness with ultrasound and track nutrition markers over the first week. They will then compare how well different AI models—ChatGPT, Gemini, and Claude—can forecast which patients develop muscle wasting. The goal is to see if AI can help doctors identify at-risk patients earlier, without any experimental treatment being given.

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 enable early detection of muscle wasting in ICU patients, potentially guiding nutrition and physical therapy to improve recovery.
What could go wrong: This is an observational study with no intervention, so it cannot prove that AI predictions improve outcomes. Results may not apply to all ICU patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

brain cancer brain neoplasm Hematoma, Epidural, Spinal Hematoma, Subdural intracerebral hemorrhage ischemic stroke Sarcopenia subarachnoid hemorrhage

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

INTRACEREBRAL HEMORRHAGE, SUBARACHNOID HEMORRHAGE, SUBDURAL HEMATOMA, EPIDURAL HEMATOMA, ISCHEMIC STROKE, BRAIN NEOPLASMS

Contacts and locations

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Study contacts

Contact

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

Locations

Trabzon University Faculty of Medicine, Kanuni Training and Research Hospital, Trabzon, 61080
RECRUITING

Trabzon, Turkey (Türkiye)

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

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