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Article
Open AccessA radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays
Chest radiographs (CXRs) are the most widely available radiographic imaging modality used to detect respiratory diseases that result in lung opacities. CXR reports often use non-standardized language that resu...
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Article
Open AccessDevelopment and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients
Clinical prognostic models can assist patient care decisions. However, their performance can drift over time and location, necessitating model monitoring and updating. Despite rapid and significant changes dur...
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Article
External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19
There is a need to discriminate which COVID-19 inpatients are at higher risk for venous thromboembolism (VTE) to inform prophylaxis strategies. The IMPROVE-DD VTE risk assessment model (RAM) has previously dem...
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Article
Incidence of Venous Thromboembolism and Mortality in Patients with Initial Presentation of COVID-19
Venous thromboembolism (VTE) has emerged as an important issue in patients with COVID-19. The purpose of this study is to identify the incidence of VTE and mortality in COVID-19 patients initially presenting t...
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Article
Abdominal pelvic CT findings compared between COVID-19 positive and COVID-19 negative patients in the emergency department setting
Manifestations of COVID-19 are primarily respiratory based, however, gastrointestinal symptoms are now recognized as an important component of the disease. The purpose of this study is to evaluate differences ...
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Article
Open AccessMachine learning to assist clinical decision-making during the COVID-19 pandemic
The number of cases from the coronavirus disease 2019 (COVID-19) global pandemic has overwhelmed existing medical facilities and forced clinicians, patients, and families to make pivotal decisions with limited...