AI and ultrasound join forces to detect hidden muscle decline in the ICU

NCT ID NCT06765551

NEW Completed Diagnosis Sponsor: Jena University Hospital Source: ClinicalTrials.gov ↗

First seen Aug 18, 2026 · Last updated Aug 18, 2026

Summary

This study explores whether artificial intelligence can analyze ultrasound images of muscles to detect intensive care unit-acquired weakness (ICUAW), a common complication in critically ill patients. Researchers will compare AI-based assessments with standard clinical evaluations in 64 participants, including ICU patients and healthy volunteers. The goal is to see if AI can reliably identify and monitor this condition, potentially leading to earlier detection and better management.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Neuromuscular ultrasound with AI-based image analysis
What this could lead to: If successful, this could lead to a non-invasive, AI-assisted tool for early detection and monitoring of ICU-acquired weakness, potentially improving patient outcomes.
What could go wrong: This is a small observational study, so results may not be conclusive. AI accuracy may vary, and findings may not generalize to all ICU patients.

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Conditions

The condition(s) this trial relates to.

Asthenia critical illness polyneuropathy polyneuropathy

As listed by the trial registrant

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

ARTIFICAL INTELLIGENCE INTENSIVE CARE UNIT-ACQUIRED WEAKNESS ULTRASOUND

Contacts and locations

Locations

Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital

Jena, Thuringia, 07747, Germany

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