AI-powered Portable MRI Abnormality Detection (APPMAD)

King's College Hospital NHS Trust

Status: Not yet enrolling

Conditions: Head Injury

Treatments: Device: Portable, ultra-low-field MRI scanner

Study type: Interventional

Funder types: Other

Identifiers

NCT06803420

IRAS 347453

Details and patient eligibility

About

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.

Enrollment: 400 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

Adults ≥18 years old. Undergoing standard brain MRI including T2-weighted sequences.

Exclusion criteria

Contraindications to MRI (e.g. pacemaker, pregnancy). Poor quality MRI scans without a neuroradiology report.

Trial design

Primary purpose: Screening

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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400 participants in 1 patient group

Portable, ultra-low-field MRI scanner

Experimental group

Description:

Patients undergoing a standard brain MRI scan will be invited to have an additional portable MRI scan within 30 days of their clinical scan.

Treatment:

Device: Portable, ultra-low-field MRI scanner