A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …
and has achieved remarkable success in many medical imaging applications, thereby …
Thoracic imaging tests for the diagnosis of COVID‐19
Background The respiratory illness caused by SARS‐CoV‐2 infection continues to present
diagnostic challenges. Our 2020 edition of this review showed thoracic (chest) imaging to be …
diagnostic challenges. Our 2020 edition of this review showed thoracic (chest) imaging to be …
Incidence of venous thromboembolism in hospitalized patients with COVID‐19
S Middeldorp, M Coppens… - … of Thrombosis and …, 2020 - Wiley Online Library
Abstract Background Coronavirus disease 2019 (COVID‐19) can lead to systemic
coagulation activation and thrombotic complications. Objectives To investigate the incidence …
coagulation activation and thrombotic complications. Objectives To investigate the incidence …
A national strategy to diagnose coronavirus disease 2019–associated invasive fungal disease in the intensive care unit
PL White, R Dhillon, A Cordey, H Hughes… - Clinical Infectious …, 2021 - academic.oup.com
Background Fungal coinfection is a recognized complication of respiratory virus infections,
increasing morbidity and mortality, but can be readily treated if diagnosed early. An …
increasing morbidity and mortality, but can be readily treated if diagnosed early. An …
A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
Historically controlled comparison of glucocorticoids with or without tocilizumab versus supportive care only in patients with COVID-19-associated cytokine storm …
S Ramiro, RLM Mostard, C Magro-Checa… - Annals of the …, 2020 - ard.bmj.com
Objectives To prospectively investigate in patients with severe COVID-19-associated
cytokine storm syndrome (CSS) whether an intensive course of glucocorticoids with or …
cytokine storm syndrome (CSS) whether an intensive course of glucocorticoids with or …
The impact of COVID-19 on nursing workload and planning of nursing staff on the Intensive Care: A prospective descriptive multicenter study
ME Hoogendoorn, S Brinkman, RJ Bosman… - International journal of …, 2021 - Elsevier
Introduction The impact of the care for COVID-19 patients on nursing workload and planning
nursing staff on the Intensive Care Unit has been huge. Nurses were confronted with a high …
nursing staff on the Intensive Care Unit has been huge. Nurses were confronted with a high …
Radiologic diagnosis of patients with COVID-19
EM Chamorro, AD Tascón, LI Sanz, SO Vélez… - Radiología (English …, 2021 - Elsevier
The pandemia caused by the SARS-CoV-2 virus has triggered an unprecedented health
and economic crisis. Although the diagnosis of infection with SARS-CoV-2 is …
and economic crisis. Although the diagnosis of infection with SARS-CoV-2 is …
COVID-19 imaging: what we know now and what remains unknown
Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and
sometimes fatal disease, with mortality most frequently being the result of acute lung injury …
sometimes fatal disease, with mortality most frequently being the result of acute lung injury …
Current and emerging knowledge in COVID-19
COVID-19 has emerged as a pandemic leading to a global public health crisis of
unprecedented morbidity. A comprehensive insight into the imaging of COVID-19 has …
unprecedented morbidity. A comprehensive insight into the imaging of COVID-19 has …