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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04830891
Other study ID # IU2021_AG_05
Secondary ID
Status Completed
Phase
First received
Last updated
Start date February 8, 2021
Est. completion date April 22, 2022

Study information

Verified date May 2022
Source IntelligentUltrasound Limited
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This is a single-centre, prospective, non-randomised volunteer study to be undertaken in Intelligent Ultrasound's offices at Hodge House, 114-116 St Mary Street, Cardiff, CF10 1DY, UK.


Description:

This is a single-centre, non-randomised, prospective study involving up to 100 participants. The data collected in this study will augment the data collected in ML2018_AG_01, ML2018_AG_02, IU2019_AG_03, and IU2020_AG_04. Phase I Collect data from participants for each indicated block area. This set will be used to develop and verify models for the identification and highlighting of target anatomical structures on ultrasound images. Phase II Validation will proceed by feeding the videos into the ScanNav AnatomyGuide system and recording the output anatomy highlighting, overlaid on the original ultrasound image. The overlaid video will be examined by experts to identify safety and performance issues.


Recruitment information / eligibility

Status Completed
Enrollment 100
Est. completion date April 22, 2022
Est. primary completion date April 22, 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: Potential participants who meet the following criteria will be considered eligible for the study: 1. Male or female, at least 18 years of age; 2. Able to comprehend and sign the Informed Consent prior to enrolment in the study. Exclusion Criteria: Potential participants who meet the following criteria will NOT be eligible for the study: 1. Aged <18 years of age; 2. Unwilling or unable to provide informed consent; 3. Previous surgery or trauma to the affected area.

Study Design


Related Conditions & MeSH terms

  • Ultrasound Imaging of Anatomical Structures

Locations

Country Name City State
United Kingdom Intelligent Ultrasound Limited Cardiff Wales

Sponsors (1)

Lead Sponsor Collaborator
IntelligentUltrasound Limited

Country where clinical trial is conducted

United Kingdom, 

Outcome

Type Measure Description Time frame Safety issue
Primary Change in per-class Mean Intersection over Union (IoU) scores of deep-learning segmentation models compared to baseline models The mean Intersection over Union will be computed for each class for each model trained with the enlarged dataset, using the existing unseen test data set. These scores will be compared with the scores from the existing baseline models to determine the effect of the enlarged training data 6 months
See also
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Active, not recruiting NCT04983771 - Validity of Experts and ScanNav Anatomy PNB When Identifying Sono-anatomical Structures for Ultrasound-Guided Regional Anaesthesia
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Completed NCT04918693 - A Study to Evaluate the Performance and Potential Benefits of an Assistive Artificial Intelligence Device ScanNav Anatomy Peripheral Nerve Block - US V1.0 for Ultrasound-guided Regional Anesthesia
Completed NCT04906018 - A Study to Collect Imaging Data for the Validation of the Intelligent Ultrasound's ScanNav Anatomy Peripheral Nerve Block (PNB) - US v1.0
Completed NCT04277169 - A Volunteer Study to Collect Imaging Data for the Development of the IntelligentUltrasound Anatomy Guide
Completed NCT05156099 - Clinical Performance Study: Evaluate Scanning & Interpretation Performance With & Without ScanNav Anatomy PNB
Completed NCT06375603 - Nerve and Plane Block Data Collection Study for the Development of Artificial Intelligence-assisted Software
Completed NCT04040179 - A Volunteer Study to Collect Imaging Data for the Development of the ntelligentUltrasound Anatomy Guide
Completed NCT06025279 - Musculoskeletal System Ultrasound Examination Data Collection Study for the Development of an Artificial Intelligence Software