We'd like your feedback
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.
Nervous System Diseases
This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.
The study involves the development and testing of an artificial intelligence (AI) tool that can identify abnormalities using patient head scans conducted for routine clinical care and research volunteer scans. A deep learning algorithm will be developed using a dataset of retrospective and prospective MRI head scans to train, validate, and test convolutional networks using software developed at the Department of Biomedical Engineering, King's College London. The reference standard will be consultant radiologist reports of the MRI head scans.
Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.
The recruitment start and end dates are as follows:
You can take part if:
You may not be able to take part if:
This is in the inclusion criteria above
Below are the locations for where you can take part in the trial. Please note that not all sites may be open.
MIDI Central Team
+44(0)20 7848 9670
kch-tr.midistudy@nhs.net
The study is sponsored by King's College Hospital NHS Trust and is in collaboration with King's College London.
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
You can print or share the study information with your GP/healthcare provider or contact the research team directly.
