Health TrialsbyHealthPanel

AI-powered Portable MRI Abnormality Detection

ConditionHead Injury
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorKing's College Hospital NHS Trust

About this trial

This study aims to test a new AI-powered portable MRI scanner that can quickly identify whether a brain scan is normal or abnormal. Currently, standard MRI scans are expensive and have long waiting times. Our goal is to see if a smaller, cheaper, and more accessible MRI scanner-combined with artificial intelligence (AI)-can help doctors identify abnormalities faster and improve patient care.

We will invite patients from King's College Hospital (KCH) who are already having a standard MRI scan. They will be asked to have an extra scan using the portable MRI, which takes about 60 minutes. The AI tool will then analyse these scans and compare its results to those of expert radiologists.

By the end of the study, we hope to prove whether portable MRI with AI can be used in hospitals and GP clinics, making brain scans more accessible, reducing wait times, and helping doctors prioritise urgent cases.

This study is funded by the Medical Research Council (MRC) and has been approved by UK research ethics committees.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

None

Disqualifiers

None

Trial design

Design model

Single group

Treatments tested in this trial

  • Portable, ultra-low-field MRI scanner

    Device

    This study evaluates a portable, ultra-low-field MRI scanner (the Hyperfine Swoop) combined with artificial intelligence (AI) to detect brain abnormalities. Patients undergoing a standard brain MRI scan will be invited to have an additional portable MRI scan within 30 days of their clinical scan. The portable MRI scan will take approximately 60 minutes, using multiple imaging sequences, including T2-weighted scans. The AI system will then analyse the portable MRI images and categorise them as "normal" or "abnormal". The results will be compared with expert neuroradiologist reports from standard MRI scans to validate accuracy. This intervention aims to assess whether portable MRI with AI can provide a low-cost, accessible alternative to standard MRI, potentially improving triage and reducing waiting times for patients requiring urgent brain imaging.

Treatment groups

400 Participants
are divided into 1 treatment group
Group A: Portable, ultra-low-field MRI scannerExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Accuracy of AI toll for triaging scans as "normal or "abnormal"

Ai Triage accuracy compared with consultant neuroradiologists assessment.

Time frame
36 months

Secondary outcomes

1

Generalisability of AI tool (evaluated on external dataset).

Time frame
36 months
2

Patient acceptability of portable MRI (survey/interviews)

Time frame
36 months
3

Feasibility of integrating portable MRI in clinical pathways.

Time frame
36 months

Other outcomes

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

King's College Hospital NHS Trust

Lead sponsor

King's College London

Collaborator

Source ClinicalTrials.gov

This trial is not recruiting at the moment. You can still explore other options: