Radiomics in COVID-19: The Time for (R)evolution Has Came

The pandemic caused by the new coronavirus in 2019, now called SARS-CoV-2 or COVID-19 disease, has become a major public health problem worldwide. main method of diagnosing infection is RT-PCR, but medical imaging brings important quantitative and qualitative information that complements data for diagnosis prediction clinical course even if chest X-rays CT scans are not routinely recommended screening infections. Identifying characteristics images, such as GGO, crazy paving, consolidation those can guide diagnosis, help clinicians decisions patient treatment an RT-PCR result available rapidly. Chest radiographs also bring about severity unfavorable evolution potential disease. Radiomics, research subdomain A.I. based on extraction analysis shape texture from along with deep learning, another uses neural networks, offer horizons development models diagnostic predictive value disease management. Standardizing methods creating multivariable include etiological, biological, may increase impact using radiomics routine evaluation. Recently, proposed complex radiological features variables have appeared to add accuracy radiomix likely underlie use radiomic