Abstract:- The number of people infected with COVID-19 is climbing at an alarming rate all over the world, putting an incredible strain on medical facilities. Every patient who presented with a respiratory illness was unable to be tested due to the limited availability of RT-PCR kits. These tests have a very low level of sensitivity for detecting covid-19 in patients using X-rays. You also have access to other options, such as getting an x-ray of the region in question. For the same kinds of reasons, we make use of x-ray images in our investigations as well. We were successful in achieving an accuracy rate of 96 percent when we analysed the x-ray images of the patient by employing the CNN model. In circumstances in which RT-PCR produces a false negative result, it is preferable not to use the technique at all. Thanks to recent advances in AI technology, it is now possible to diagnose patients with covid-19 in settings where trained radiologists are not readily available.
Dr. Ben M Jebin , Dr.M.Anline Rejula
Convolutional neural network (CNN), reverse transcription–polymerase chain reaction (RT-PCR) , accuracy, Respiratory syndrome..
