Actively Recruiting

Phase Not Applicable
Age: 18Years - 99Years
All Genders
NCT07111637

Artificial Intelligence-Assisted Magnetic Resonance Imaging for Quality, Efficiency and Equity in the National Health Service (NHS) Care of Multiple Sclerosis

Led by Queen Mary University of London · Updated on 2025-08-13

1336

Participants Needed

1

Research Sites

43 weeks

Total Duration

On this page

Sponsors

Q

Queen Mary University of London

Lead Sponsor

I

icometrixLeuven

Collaborating Sponsor

AI-Summary

What this Trial Is About

Multiple Sclerosis (MS) is a long-term disease that affects over 150,000 people in the UK. Starting treatment early is important for managing Multiple Sclerosis (MS). It is also essential to monitor the treatment to see if it is working and to switch treatments if needed. Magnetic resonance imaging (MRI) is the only accepted tool to monitor how well the treatment is working. Current evaluation of brain Magnetic resonance imaging (MRI) scans requires visual inspection, of which sensitivity is degraded by human, and technical factors, such as lack of time, fatigue of radiologists, and lack of standardization of image acquisition protocols across the National Health Service (NHS). MRI-readings can be significantly enhanced by artificial intelligence (AI)-assistive software. Evidence suggests the rate of new lesion detection to be 3 - 4 times higher when using assistive software compared to visual inspection of MRI scans. In this study, an Artificial Intelligence (AI) software called "icobrain ms." developed by the company "icometrix" (Leuven, Belgium) is tested. This tool helps track MS by measuring changes in the brain using MRI scans. The AI can highlight problem areas and create reports that doctors can use to make better decisions about participants' treatment. The aim of the study is to prove that icobrain ms can be used to assist the neuro-radiologist with their visual assessment of MRI scans by a radiologist, and that it will help clinicians make more informed decisions about participants' current MS treatment.

CONDITIONS

Official Title

Artificial Intelligence-Assisted Magnetic Resonance Imaging for Quality, Efficiency and Equity in the National Health Service (NHS) Care of Multiple Sclerosis

Who Can Participate

Age: 18Years - 99Years
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Clinically Isolated Syndrome suggestive of demyelination or definitive diagnosis of Multiple Sclerosis
  • Undergoing MRI head investigation
  • On a disease-modifying treatment pathway for Multiple Sclerosis
  • Access to a smartphone, tablet, or computer
Not Eligible

You will not qualify if you...

  • Patients with Multiple Sclerosis participating in a randomized controlled CTIMP (except if in a single arm study aligned with other protocol)

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Barts Health NHS Trust

London, United Kingdom, E1 4NS

Actively Recruiting

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How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

TREATMENT

Number of Arms

2

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