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 …
[HTML][HTML] A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks
TD Pham - Scientific reports, 2020 - nature.com
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19.
Although computed tomography (CT) scans show a variety of signs caused by the viral …
Although computed tomography (CT) scans show a variety of signs caused by the viral …
A review of explainable and interpretable AI with applications in COVID‐19 imaging
The development of medical imaging artificial intelligence (AI) systems for evaluating COVID‐
19 patients has demonstrated potential for improving clinical decision making and assessing …
19 patients has demonstrated potential for improving clinical decision making and assessing …
Role of computed tomography in COVID-19
G Pontone, S Scafuri, ME Mancini, C Agalbato… - Journal of …, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) has become a rapid worldwide pandemic.
While COVID-19 primarily manifests as an interstitial pneumonia and severe acute …
While COVID-19 primarily manifests as an interstitial pneumonia and severe acute …
Long-term pulmonary consequences of coronavirus disease 2019 (COVID-19): what we know and what to expect
Coronavirus disease 2019 (COVID-19), a viral pneumonia caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2 coronavirus), was initially called an …
respiratory syndrome coronavirus 2 (SARS-CoV-2 coronavirus), was initially called an …
Managing information for innovation using knowledge integration capability: The role of boundary spanning objects
Abstract Knowledge Integration (KI) or the capability to collate and process distinctive stocks
of organizational information is central to innovation. Although an essential capability, KI is …
of organizational information is central to innovation. Although an essential capability, KI is …
Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the
globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest …
globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest …
Ischemic gastrointestinal complications of COVID-19: a systematic review on imaging presentation
Background Limited data is available addressing gastrointestinal (GI) ischemia in
coronavirus disease 2019 (COVID-19). We reviewed the clinical and radiologic features of …
coronavirus disease 2019 (COVID-19). We reviewed the clinical and radiologic features of …
[HTML][HTML] Comparing CT scan and chest X-ray imaging for COVID-19 diagnosis
People suspected of having COVID-19 need to know quickly if they are infected, so they can
receive appropriate treatment, self-isolate, and inform those with whom they have been in …
receive appropriate treatment, self-isolate, and inform those with whom they have been in …