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AI-powered Portable MRI Abnormality Detection

Study acronym: APPMAD
StatusNot Yet Recruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗

Record History

  1. Minor Study First Submitted
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.
Trial Details
NCT Number NCT06803420
Lead Sponsor King's College Hospital NHS Trust
Collaborators: King's College London
Conditions
(from sponsor)
Head Injury
Related terms Craniocerebral Trauma
Enrollment 400 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov