The researchers, from the University of Cambridge and Imperial College London, have clinically validated and tested the AI on large sets of CT scans, and found that it was successfully able to detect, segment, quantify and differentiate different types of brain lesions. The results, reported in The Lancet Digital Health, 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 those where radiological expertise is at a premium.
In addition, the researchers say that it could have a potential use in emergency rooms, helping get patients home sooner. Of all the patients who have a head injury, only between 10 and 15% have a lesion that can be seen on a CT scan. The AI could help identify these patients who need further treatment, so those without a brain lesion can be sent home, although any clinical use of the tool would need to be thoroughly validated.
Read more at: https://neurosciencenews.com/ai-brain-injury-16399/