Scientists in Scotland have developed an artificial intelligence-enabled Covid diagnostic test using X-ray, which can give 98 percent accurate results in a short time. University of West of Scotland (UWS) researchers said that this is how they can help healthcare personnel when PCR tests are not ready.
Professor Naeem Ramzan, Director of Affective and Human Computing at UWS, and his team claimed that this program was able to detect the virus faster than the PCR test, as the X-ray result came out in about two hours. The technique, which was found to be 98 percent accurate; It was developed with close to 3,000 images of Covid patients, healthy individuals and viral pneumonia patients.
Can Covid-19 be detected with X-ray?
According to the statement made by experts, it will use X-ray technology for Covid-19 detection. Following this, the images will also be analyzed with the artificial intelligence process and the algorithm will be used to diagnose. Ramzan said the following on the subject:
“There has long been a need for a fast and reliable tool that can detect Covid-19, and this has become even more accurate with the rise of the Omicron variant. Some countries are unable to perform large numbers of Covid-19 tests due to limited diagnostic tools, but this technique uses readily available technology to quickly detect the virus. ”
The Affective and Human Computing Director added that it should not be forgotten that Covid-19 symptoms are not seen on X-rays in the early stages of the infection, so the technology cannot fully replace PCR tests.
“PCR tests in particular can still play an important role in detecting spreading viruses. “It can be life-saving when diagnosing severe cases of the virus and determining what treatment may be needed.”
Meanwhile, Professor Milan Radosavljevic, Assistant Director of Research, Innovation and Engagement at UWS, said this is potentially game-changing research. “I am incredibly proud of the innovations showcased by our internationally renowned academics as UWS strives to find solutions to global problems. ” said.
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