An Evaluation of the Long-Term Impact of Assistive AI on Anaesthetists' Ultrasound Scanning for UGRA
NCT ID: NCT05583032
Last Updated: 2023-08-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
58 participants
OBSERVATIONAL
2022-11-24
2023-07-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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ScanNav Anatomy PNB aided
Participants completing scans for regional anaesthesia with the aid of ScanNav Anatomy PNB.
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.
No interventions assigned to this group
Interventions
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ScanNav Anatomy PNB
AI-powered device that highlights anatomy of interest during ultrasound scans.
Eligibility Criteria
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Inclusion Criteria
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
2. Unwilling or unable to provide informed consent
3. Expert in UGRA (see definition above)
18 Years
ALL
Yes
Sponsors
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IntelligentUltrasound Limited
INDUSTRY
Responsible Party
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Principal Investigators
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James Bowness, Dr
Role: PRINCIPAL_INVESTIGATOR
Intelligent Ultrasound
Locations
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UCH Education Centre
London, , United Kingdom
Countries
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References
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Kowa CY, Morecroft M, Macfarlane AJR, Burckett-St Laurent D, Pawa A, West S, Margetts S, Haslam N, Ashken T, Sebastian MP, Thottungal A, Womack J, Noble JA, Higham H, Bowness JS. Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists' ultrasound scanning for regional anesthesia. BMJ Surg Interv Health Technol. 2024 Oct 16;6(1):e000264. doi: 10.1136/bmjsit-2024-000264. eCollection 2024.
Other Identifiers
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IU2022_AG_10
Identifier Type: -
Identifier Source: org_study_id
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