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

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

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05583032
Enrollment
58
Registered
2022-10-17
Start date
2022-11-24
Completion date
2023-07-30
Last updated
2023-08-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ultrasound Imaging of Anatomical Structures

Keywords

ScanNav, Anatomy PNB

Brief summary

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

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).

Interventions

DEVICEScanNav Anatomy PNB

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

Sponsors

IntelligentUltrasound Limited
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

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)

Design outcomes

Primary

MeasureTime frameDescription
Block identification (long-term)8-10 weeksIdentification 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)

Secondary

MeasureTime frameDescription
Block identification (immediate)Time 0Identification 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)
Anatomy identificationTime 0 and 8-10 weeksCorrect identification of anatomical structures on the block view \[Y/N\]
Participant confidenceTime 0 and 8-10 weeksParticipant confidence in ultrasound scanning \[continuous scale; 0 (no confidence\] - 10 (total confidence)\]
Overall scan performanceTime 0 and 8-10 weeksExpert observer's assessment of the participant's overall ultrasound scanning performance \[continuous scale; 0 (poor) - 10 (excellent)\]

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 5, 2026