COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans

Background: Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people across the globe. Objective: In the absence or inadequate provision of therapeutic treatments of COVID-19 and the limited convenience of diagnostic techniques, there is a necessity for some alternate spontaneous screening systems that can easily be used by the physicians to rapidly recognize and isolate the infected patients to circumvent onward surge. A chest X-ray (CXR) image can effortlessly be used as a substitute modality to diagnose the COVID-19. Method: In this study, we present an automatic COVID-19 diagnostic and severity prediction system (COVIDX) that uses deep feature maps of CXR images along with classical machine learning algorithms to identify COVID-19 and forecast its severity. The proposed system uses a three-phase classification approach (healthy vs unhealthy, COVID-19 vs pneumonia, and COVID-19 severity) using different conventional supervised classification algorithms. Results: We evaluated COVIDX through 10-fold cross-validation, by using an external validation dataset, and also in a real setting by involving an experienced radiologist. In all the adopted evaluation settings, COVIDX showed strong generalization power and outperforms all the prevailing state-of-the-art methods designed for this purpose. Conclusions: Our proposed method (COVIDX), with vivid performance in COVID-19 diagnosis and its severity prediction, can be used as an aiding tool for clinical physicians and radiologists in the diagnosis and follow-up studies of COVID-19 infected patients. © The Author(s) 2022. Published by Higher Education Press.

Respiratory Protective Equipment for Healthcare Providers During Coronavirus Pandemic: "Nec Temere, Nec Timide".

In otorhinolaryngology-head and neck surgery, there are several routine and surgical procedures applied to the upper airway that generate droplets and/or aerosols. Therefore, otorhinolaryngology-head and neck surgeons are at higher risk of being exposed to viral content. The COVID-19 pandemic has shaken the world with approximately 30 million affected cases and more than 900.000 deaths officially reported in more than 200 countries/regions from March 11th, 2020 to date (September 12th, 2020). All healthcare providers working at the frontlines of the fight against the COVID-19 are at risk of contracting the virus. In this review, we discuss the efficacy of the different types of respiratory protective equipment and remind about the surgery-based respiratory protection strategies in otorhinolaryngology and head and neck surgeries in the light of the latest literature.