AI algorithm detects and identifies brain lesions
Researchers from Cambridge University and Imperial College London developed an AI algorithm that detects and identifies different types of brain injuries.
The researchers said they have clinically validated and tested the AI on large sets of CT scans, and found that it could detect, segment, quantify and differentiate different types of brain lesions.
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The results could be useful in large-scale research studies, for developing more personalised treatments for head injuries and, with further validation, could be useful in certain clinical scenarios, such as resource-limited areas with few radiologists.
Head injury affects up to 60 million people each year and is the leading cause of mortality in young adults. When a patient has had a head injury, they are often sent for a CT scan to check for blood in or around the brain, and to help determine whether surgery is required. However, of all the patients who have a head injury, between 10 and 15 per cent have a lesion that can be seen on a CT scan.
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