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Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients

NCT06034093 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 254

Last updated 2024-03-20

No results posted yet for this study

Summary

This study aims to investigate the feasibility of using a real-time artificial intelligent (AI)-assisted tool for Rectus Femoris cross sectional area measurement from muscle ultrasound to improve reliability, reduce inter- and intra-observer variability and reduce operator time spent on ultrasound examination

Conditions

  • Tetanus

Interventions

DEVICE

Real-time AI-assisted muscle ultrasound

RAIMUS software provides automatic segmentation and size measurement for the RFCSA

Sponsors & Collaborators

Principal Investigators

  • Sophie Yacoub, PhD · Oxford University Clinical Research Unit

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
16 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-06-01
Primary Completion
2023-08-10
Completion
2023-10-31

Countries

  • Vietnam

Study Locations

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Entities

Companies

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 NCT06034093 on ClinicalTrials.gov