Researchers create ‘Covid computer’ to speed up diagnosis
Researchers at the University of Leicester have created a new AI tool that can detect Covid-19.
The software analyses chest CT scans and uses deep learning algorithms to accurately diagnose the disease. With an accuracy rate of 97.86%, it’s currently the most successful Covid-19 diagnostic tool in the world.
Currently, the diagnosis of COVID-19 is based on nucleic acid testing, or PCR tests as they are commonly known. These tests can produce false negatives and results can also be affected by hysteresis – when the physical effects of an illness lag behind their cause. AI, therefore, offers an opportunity to rapidly screen and effectively monitor Covid-19 cases on a large scale, reducing the burden on doctors.
Researchers will now further develop this technology in the hope that the Covid computer may eventually replace the need for radiologists to diagnose COVID-19 in clinics. The software, which can even be deployed in 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).