Technology

Australian AI technology to help doctors diagnose COVID-19

Australian AI technology to help doctors diagnose COVID-19
An Australian-developed artificial intelligence diagnosis tool will help medical staff around the world identify people with COVID-19.
Built by University of Sydney-affiliated start-up DetectED-X, the technology - known as CovED - was initially created to detect breast cancer.
But researchers quickly adapted it to identify coronavirus by analysing CT scans of patients from Australia and Europe.
It can return results in as little as one hour.
A scan from the Australian developed CovED technology showing signs of coronavirus on a patent's lungs. (University of Sydney) (Supplied)
Medical radiation expert and CEO Professor Patrick Brennan said the technology can enable medics interpreting lung scans to have every diagnosis reviewed for accuracy in real time - potentially saving lives.
The technology can review the scan and the diagnosis to check if the reviewer has made a mistake.
"The number of patients that are suffering from this life-threatening illness is fast outpacing the number of skilled staff required to accurately diagnose the required lung CT scans," Prof. Brennan said.
Tops tips for minimizing coronavirus transmission. (9News)
"Our platform does not replace expert medical and radiological training but CovED provides an effective way to recognise rapidly the appearances of COVID-19, which could be critical in a situation of too many patients and not enough expert radiologists, with the modules taking just one to two hours to complete."
Prof. Brennan said the technology would be particularly valuable in developing countries which lack radiologists.
"Our tests will help people not only diagnose COVID-19 but also identify potentially life-threatening cases wherever they are," he said.
The CovED platform, which can be accessed anywhere with an internet connection, is being provided free and is being supported by healthcare experts and multinational corporations.
Medical workers test a man in Indonesia. The new diagnosis technology would be particularly useful in developed countries which lack radiology resources. (AP)
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