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Currently, the CV test is based on nucleic acid testing or conventional PCR tests. These tests can have false positives and the results can be detrimental to hysteria – when the physical effects of the disease are delayed behind them.
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Key highlights
- The study was published in the International Journal of Intelligence Systems.
- Researchers are now developing this technology in the hope that it will eventually replace the need for radiologists to test covide in clinics.
- The software, which can be distributed even on mobile devices such as smartphones, is also being developed to diagnose and diagnose other diseases (such as breast cancer, Alzheimer’s disease and cardiovascular disease).
The software scans the chest CT scan and uses advanced learning algorithms to accurately diagnose the disease. With a 97.86 percent accuracy, it is currently the most successful CVD-19 diagnostic tool in the world, according to the University of Leicester team.
AI, therefore, provides an opportunity to quickly diagnose and effectively monitor covariate cases, which reduces the burden on doctors.
“The accuracy of the system can be used in the CVD-19 clinical examination, which helps to control the spread of the virus. Said Zhang.
The study was published in the International Journal of Intelligence Systems.
Researchers are now developing this technology in the hope that it will eventually replace the need for radiologists to test covide in clinics.
The software, which can be distributed even on mobile devices such as smartphones, is also being developed to diagnose and diagnose other diseases (such as breast cancer, Alzheimer’s disease and cardiovascular disease).
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