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AI tool for identifying abnormalities in head MRI scans

Deep Learning for Identification of Abnormalities on Head MRI

King's College Hospital NHS Trust · NCT04368481

This study is testing a new AI tool that helps find problems in head MRI scans faster and more accurately, which could help doctors provide better care for patients.

Quick facts

Study typeObservational
Enrollment30000 (estimated)
Ages18 Years and up
SexAll
SponsorKing's College Hospital NHS Trust (other)
Locations33 sites (Orpington, Kent and 32 other locations)
Trial IDNCT04368481 on ClinicalTrials.gov

What this trial studies

This study focuses on developing an artificial intelligence tool that utilizes deep learning algorithms to identify abnormalities in head MRI scans. By training on a large dataset of both retrospective and prospective scans, the AI aims to improve the speed and accuracy of abnormality detection, addressing the current challenges posed by radiologist shortages and increasing demand for MRI services. The tool will be validated against consultant radiologist reports to ensure its effectiveness in clinical settings. Ultimately, this automated approach could streamline the reporting process and enhance patient outcomes through earlier interventions.

Who should consider this trial

Good fit: Ideal candidates for this study are adults over 18 years old who have undergone head MRI scans with compatible sequences.

Not a fit: Patients who do not have a corresponding radiologist report or whose MRI scans are of poor quality may not benefit from this study.

Why it matters

Potential benefit: If successful, this AI tool could significantly reduce the time taken to identify abnormalities in MRI scans, leading to quicker diagnoses and improved patient care.

How similar studies have performed: While the use of deep learning in medical imaging is a growing field, this specific approach to automating abnormality detection in head MRI scans is relatively novel and has not been extensively tested in prior studies.

Eligibility criteria

Show full inclusion / exclusion criteria 
Inclusion Criteria:

* All head MRI scans with compatible sequences
* \> 18 years old

Exclusion Criteria:

* No corresponding radiologist report
* No consent for future use of the research images held within the historic database stored at The Centre for Neuroimaging Sciences (Kings College London).
* Poor image quality

Where this trial is running

Orpington, Kent and 32 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.

View on ClinicalTrials.gov →

Conditions: Neurological Disorder

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.