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‘Covid Computer’ Uses AI to Detect COVID-19 from Chest CT Scans – COVID-19

Image: Researchers create 'Covid computer' to speed up diagnosis (Photo courtesy of Pexels)

Image: Researchers create ‘Covid computer’ to speed up diagnosis (Photo courtesy of Pexels)

Currently, the diagnosis of COVID-19 is based on nucleic acid testing, or PCR tests as it is commonly known. These tests can generate false negatives and the results can also be affected by hysteresis – when the physical effects of a disease are late in their cause. Artificial intelligence (AI) offers an opportunity to rapidly screen and effectively monitor COVID-19 cases on a large scale, reducing the burden on physicians. Now, researchers have developed a new AI tool that can detect COVID-19. The software analyzes the chest CT scan and uses in-depth learning algorithms to accurately diagnose the disease. With an accuracy rate of 97.86%, it is now the most successful COVID-19 diagnostic tool in the world.

Researchers from the University of Leicester (Leicester, UK) who are developing the new AI tool will now further develop this technology in the hope that the Covid computer can later replace the need for radiologists to diagnose the COVID-19 in clinics. The software, which can even be deployed on portable devices such as smart phones, will also be adapted and expanded to detect and diagnose other diseases (such as breast cancer, Alzheimer’s Disease, and cardiovascular diseases). .

“Our research focuses on the automatic diagnosis of COVID-19 based on the random graph neural network. The results show that our method can locate suspicious regions in chest images automatically and make accurate predictions based on of representations, ”said Professor Yudong Zhang, Professor of Knowledge Discovery and Machine Learning at the University of Leicester. “The accuracy of the system means that it can be used in the clinical diagnosis of COVID-19, which could help prevent the spread of the virus. We hope that, in the future, this type of technology will allow for automated computerized diagnosis. without the need for manual intervention, in order to create a more intelligent, efficient health care service. “

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