Researchers at ݮƵ Engineering have developed technology that uses artificial intelligence (AI) to identify collapsed lungs from chest x-rays with greater accuracy than radiologists.
The system can now identify 75 per cent of cases - compared to less than 50 per cent for medical experts using chest x-rays - and researchers are working to boost that rate to more than 90 per cent.
Hamid Tizhoosh, a systems design engineering professor, is leading research to identify cases of collapsed lung, or pneumothorax, from chest x-rays using AI and a search system.
“There is no question systems like this will be in place in hospitals within the next two years,” said Hamid Tizhoosh, a professor of systems design engineering and director of the Laboratory for Knowledge Inference in Medical Image Analysis . “People are pushing for it and the technology is there.”
The researchers are working with the University Health Network (UHN), a healthcare and medical research organization consisting of several Toronto-area hospitals, on a project backed by the Vector Institute, a not-for-profit corporation dedicated to advancing AI.
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