AI-powered Portable MRI Abnormality Detection
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Portable, ultra-low-field MRI scanner.
- Who it may be relevant to
- Registry conditions: Head Injury. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Overview
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.
Interventions
- Device Portable, ultra-low-field MRI scanner
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
Primary outcome measures
- Accuracy of AI toll for triaging scans as "normal or "abnormal" [Time frame: 36 months]
Secondary outcome measures (3)
- Generalisability of AI tool (evaluated on external dataset). [Time frame: 36 months]
- Patient acceptability of portable MRI (survey/interviews) [Time frame: 36 months]
- Feasibility of integrating portable MRI in clinical pathways. [Time frame: 36 months]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Screening
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT06803420 · IRAS 347453