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AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness
Sponsor: Jena University Hospital
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?
Official title: Artificial IntelligenCe Based UlTrasonographic Assessment of IntensiVe CAre UniT-acquired WEakness (ACTIVATE)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
50
Start Date
2024-10-01
Completion Date
2026-06-30
Last Updated
2025-01-09
Healthy Volunteers
Yes
Interventions
Neuromuscular Ultrasound
Non-invasive ultrasound of peripheral muscles of the upper and lower extremities with additional artificiall intelligence processing of ultrasound images.
Locations (1)
Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital
Jena, Thuringia, Germany