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

August 11, 2023 updated by: IntelligentUltrasound Limited

A Randomised Prospective Evaluation of the Long-Term Impact of Assistive Artificial Intelligence on Anaesthetists' Ultrasound Scanning for Regional Anaesthesia

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

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

This is a randomised, blinded interventional prospective study which will be conducted and reported as per the Consolidated Standards of Reporting Trials - Artificial Intelligence (CONSORT-AI) guidance. The study end points have been defined prospectively, and data will be divided into two cohorts (with vs without ScanNav Anatomy PNB assistance). Participants will be asked to perform ultrasound (US) scanning on healthy volunteers while under observation by a subject matter expert (expert observer) who will assess participant performance, both with and without the device. The US scans will be recorded and blinded expert observers (without knowledge of whether ScanNav Anatomy PNB is in use) will also assess acquisition of an appropriate block view (panel of three experts, one viewing each scan as per the unblinded assessors). The initial assessment will be undertaken after a scanning tutorial and then repeated after 8-10 weeks (to assess longer-term impact of the device).

Study Type

Observational

Enrollment (Actual)

58

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

70 participants will be recruited to represent the intended user population (anaesthetists qualified to perform UGRA, but non-experts in the field of regional anaesthesia).

Potential study participants will be identified by approaching professional anaesthesia/anaesthetics societies, networks (e.g., Wales Regional Anaesthesia Group - South).

Description

Inclusion Criteria:

  1. Anaesthetist in Stage 1 of UK Anaesthesia Core/Specialty Training (CT 1-3)
  2. Able to comprehend and sign the Informed Consent prior to enrolment in the study
  3. Available to travel and attend the study day in person

Exclusion Criteria:

  1. Aged <18 years of age
  2. Unwilling or unable to provide informed consent
  3. Expert in UGRA (see definition above)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
ScanNav Anatomy PNB aided
Participants completing scans for regional anaesthesia with the aid of ScanNav Anatomy PNB.
AI-powered device that highlights anatomy of interest during ultrasound scans.
ScanNav Anatomy PNB unaided
Participants completing scans for regional anaesthesia without the aid of ScanNav Anatomy PNB.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Block identification (long-term)
Time Frame: 8-10 weeks
Identification of an appropriate block view by participant [blinded expert's opinion; Y/N] both with and without the use of ScanNav Anatomy PNB for ultrasound scanning (8 - 10 weeks after teaching)
8-10 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Block identification (immediate)
Time Frame: Time 0
Identification of an appropriate block view by participant [blinded expert's opinion; Y/N] both with and without the use of ScanNav Anatomy PNB for ultrasound scanning (immediately after teaching)
Time 0
Anatomy identification
Time Frame: Time 0 and 8-10 weeks
Correct identification of anatomical structures on the block view [Y/N]
Time 0 and 8-10 weeks
Participant confidence
Time Frame: Time 0 and 8-10 weeks
Participant confidence in ultrasound scanning [continuous scale; 0 (no confidence] - 10 (total confidence)]
Time 0 and 8-10 weeks
Overall scan performance
Time Frame: Time 0 and 8-10 weeks
Expert observer's assessment of the participant's overall ultrasound scanning performance [continuous scale; 0 (poor) - 10 (excellent)]
Time 0 and 8-10 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: James Bowness, Dr, Intelligent Ultrasound

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 24, 2022

Primary Completion (Actual)

January 30, 2023

Study Completion (Actual)

July 30, 2023

Study Registration Dates

First Submitted

October 13, 2022

First Submitted That Met QC Criteria

October 13, 2022

First Posted (Actual)

October 17, 2022

Study Record Updates

Last Update Posted (Actual)

August 14, 2023

Last Update Submitted That Met QC Criteria

August 11, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • IU2022_AG_10

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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