A Pilot Study on Detection and Classification of COVID Images: A Deep Learning Approach

Outbreak of COVID-19 disease has been identified as huge pandemic for last ten decades. It threatened the global population as it has direct impact on the respiratory system. This virus includes lengthy RNA genome sequence of about 120 nm. CT-scan and X-rays are the widely used image modalities for the identification of COVID-19 disease till now. Manual diagnosis is time taking and tedious task to identify existence of COVID-19. To improve the performance and decreasing the time complexity, deep learning methods have been used. This paper reviews the deep learning systems developed for detection of COVID-19 disease. Further this paper discusses the available databases regarding COVID-19. This paper also explores the existing challenges and future directions of deep learning methods in field of diagnosing COVID-19. The ultimate goal of this paper is to illustrate the significance of deep learning methods in identification of COVID-19 disease. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Critical Care for COVID-19 Affected Patients: Updated Position Statement of the Indian Society of Critical Care Medicine.

The management of coronavirus disease-2019 (COVID-19) is witnessing a change as we learn more about the pathophysiology and the severity of the disease. Several randomized controlled trials (RCTs) and meta-analysis have been published over the last few months. Several interventions and therapies which showed promise in the initial days of the pandemic have subsequently failed to show benefit in well-designed trials. Understanding of the methods of oxygen delivery and ventilation have also evolved over the past few months. The Indian Society of Critical Care Medicine (ISCCM) has reviewed the evidence that has emerged since the publication of its position statement in May and has put together an addendum of updated evidence. How to cite this article: Mehta Y, Chaudhry D, Abraham OC, Chacko J, Divatia J, Jagiasi B, et al. Critical Care for COVID-19 Affected Patients: Position Statement of the Indian Society of Critical Care Medicine. Indian J Crit Care Med 2020;24(Suppl 5):S225-S230.

Critical Care for COVID-19 Affected Patients: Position Statement of the Indian Society of Critical Care Medicine.

The global pandemic involving severe acute respiratory syndrome-coronavirus-2 (SARS-COV-2) has stretched the limits of science. Ever since it emerged from the Wuhan province in China, it has spread across the world and has been fatal to about 4% of the victims. This position statement of the Indian Society of Critical Care Medicine represents the collective opinion of the experts chosen by the society. HOW TO CITE THIS ARTICLE: Mehta Y, Chaudhry D, Abraham OC, Chacko J, Divatia J, Jagiasi B, et al. Critical Care for COVID-19 Affected Patients: Position Statement of the Indian Society of Critical Care Medicine. Indian J Crit Care Med 2020;24(4):222-241.