A Volunteer Study to Collect Imaging Data for the Development of the Medaphor Anatomy Guide.

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

103 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-09-14

Study Completion Date

2018-10-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The aim of this study is to determine if machine learning can be used to automatically highlight key anatomy on the ultrasound image to help anaesthetists perform ultrasound-guided regional anaesthesia.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

A Volunteer Study to Collect Imaging Data for the Development of the IntelligentUltrasound Anatomy Guide

NCT04277169

Ultrasound Imaging of Anatomical Structures

COMPLETED

Decision Making in Degenerative Lumbar Spine : CT vs. MRI

NCT04130035

Degenerative Lumbar Disease

UNKNOWN

Classification of COVID-19 Infection in Posteroanterior Chest X-rays

NCT04358536

COVID-19

COMPLETED

CT Data Collection Study

NCT03589664

Cardiac Disease

COMPLETED

AI-based Low Dose CBCT Reconstruction for Clinical Application

NCT06831617

Lung Nodule

NOT_YET_RECRUITING NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

The study will involve adult volunteers who are willing to be scanned by a trained sonographer to collect ultrasound video data for the following categories:

* Adductor canal
* Popliteal fossa
* Fascia Iliaca
* Rectus sheath
* Axillary region Each volunteer will be scanned to collect data for every category in the list. Where applicable, both sides of the body will be scanned.

The videos will be segmented by hand to identify the relevant anatomical regions for each category.

The primary objective for this study is to provide the range of data required to develop robust models in conjunction with additional data from patients undergoing a Peripheral Nerve Block procedure that are able to produce the desired segmentation on the unseen validation images. The models will be scored using the standard "Mean intersection over Union" pixel-level metric for semantic segmentation.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Ultrasound Imaging of Anatomical Structures

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Male or female, at least 18 years of age;
2. Willing to undergo ultrasound scanning and provide ultrasound video data for the following categories:

* Adductor canal
* Popliteal fossa
* Fascia Iliaca
* Rectus sheath
* Axillary region
3. Able to comprehend and sign the Informed Consent prior to enrolment in the study.