Clinical Trial

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

Study acronym: ACTIVATE
Recruiting
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Record status
This record was last updated January 9, 2025 (before its estimated December 31, 2025 completion). Its status may not reflect the trial's current state.
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?
Trial Details
NCT Number NCT06765551
Lead Sponsor Jena University Hospital
Collaborators: University of Rostock
Conditions Intensive Care Unit-acquired Weakness, Artifical Intelligence, Ultrasound
Enrollment 50 participants
Start Date 2024-10-01
Primary Completion 2025-12-31 (estimated)
Study Completion 2026-06-30 (estimated)
Updated on ClinicalTrials.gov 2025-01-09