Researchers claim they have developed an artificial intelligence (AI) algorithm that can detect and identify different types of brain injuries.
The research team 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, published in the journal '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.
"CT is an incredibly important diagnostic tool, but it's rarely used quantitatively," said study co-senior author David Menon, Professor at Cambridge University in the UK.
"Often, much of the rich information available in a CT scan is missed, and as researchers, we know that the type, volume and location of a lesion on the brain are important to patient outcomes," Menon added.
The researchers wanted to design and develop a tool that could automatically identify and quantify the different types of brain lesions so that we could use it in research and explore its possible use in a hospital setting. (IANS)