MIDI (MR Imaging Abnormality Deep Learning Identification)

Launched by KING'S COLLEGE HOSPITAL NHS TRUST · Apr 27, 2020

Keywords

ClinConnect Summary

The MIDI trial is studying the use of artificial intelligence (AI) to help identify problems in brain scans (MRI scans) for patients with neurological disorders. Researchers at King's College London are developing a new AI tool that can analyze these scans to find abnormalities more accurately. The AI will learn from a collection of past and current MRI scans, comparing its findings to expert reports from radiologists (doctors who specialize in reading imaging tests). This study aims to improve the way brain scans are interpreted, which can lead to better diagnosis and treatment for patients.

To participate in the trial, you need to be at least 18 years old and have had a head MRI scan that meets certain requirements. Unfortunately, if there isn't a radiologist's report for your scan, or if the quality of the images is poor, you won't be eligible. If you join, you can expect to contribute to important research that could enhance how medical professionals detect brain issues in the future. The study is currently recruiting participants, and people of all genders can take part. Your involvement could make a significant difference in advancing medical technology for brain health.

Gender

ALL

Eligibility 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