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.
Lu, S, Zhu, Z, Gorriz, JM, Wang, S-H, Zhang, Y-D. NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. Int J Intell Syst. 2022; 37: 1572- 1598. https://doi.org/10.1002/int.22686