A New Artificial Intelligence Model Has Been Developed to Detect Covid–19 Disease From Cough Sound

While scientists continue their fight against SARS–CoV–2, one of the deadliest viruses in the last ten years, with antigen diagnostic tests, tests that help diagnose and prognosis, drugs, and vaccine inventions, informatics mostly continue to work on early detection diagnosis, prognosis, and prediction in this period. The aim is to reveal systems with a low margin of error that can help the workload of healthcare professionals and early diagnosis and initiation of treatment. The most commonly used computer vision (automation of the processes of vision and perception in humans, high–level interpretation on digital images or videos on the computer) is the processing of radiological images. Automation of the same image interpretation process for the performance of many applications and imaging results can be easily accomplished with complex and powerful computational platforms of large–scale data such as Deep Learning. With deep understanding, the manual design of these features is eliminated, and a large amount of different classification and regression tasks are completed with higher accuracy.