An Evaluation of the Long-Term Impact of Assistive AI on Anaesthetists' Ultrasound Scanning for UGRA

NCT05583032 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 58

Last updated 2023-08-14

No results posted yet for this study

Summary

A randomised, blinded interventional prospective study evaluating the long-term impact of assistive artificial intelligence on anaesthetists' ultrasound scanning for regional anaesthesia.

Conditions

  • Ultrasound Imaging of Anatomical Structures

Interventions

DEVICE

ScanNav Anatomy PNB

AI-powered device that highlights anatomy of interest during ultrasound scans.

Sponsors & Collaborators

  • IntelligentUltrasound Limited

    lead INDUSTRY

Principal Investigators

  • James Bowness, Dr · Intelligent Ultrasound

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-11-24
Primary Completion
2023-01-30
Completion
2023-07-30

Countries

  • United Kingdom

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 NCT05583032 on ClinicalTrials.gov