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AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness

NCT06765551 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2025-01-09

No results posted yet for this study

Summary

The aim of this observational case-control study is to investigate, whether artificial intelligence can detect ultrasound-derived imaging characteristics typical for intensive care unit-acquired weakness. The main questions it aims to answer are:

1. Is the evaluation of specific parameters of neuromuscular ultrasound using AI-based image analysis suitable for detecting and monitoring critically ill ICU patients with ICUAW?
2. Do the results of AI-based ultrasound image analysis correlate with:

(A) the severity of ICUAW (B) the visual grading of muscle echogenicity (C) the 30- and 90-day-outcome?

Conditions

  • Intensive Care Unit-acquired Weakness
  • Artifical Intelligence
  • Ultrasound

Interventions

DIAGNOSTIC_TEST

Neuromuscular Ultrasound

Non-invasive ultrasound of peripheral muscles of the upper and lower extremities with additional artificiall intelligence processing of ultrasound images.

Sponsors & Collaborators

  • University of Rostock

    collaborator OTHER

  • Jena University Hospital

    lead OTHER

Principal Investigators

  • PD Dr. Johannes Ehler, M.D. · Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-10-01
Primary Completion
2025-12-31
Completion
2026-06-30

Countries

  • Germany

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06765551 on ClinicalTrials.gov