Clinical update on COVID-19 for the emergency clinician: Presentation and evaluation
Introduction Coronavirus disease of 2019 (COVID-19) has resulted in millions of cases
worldwide. As the pandemic has progressed, the understanding of this disease has evolved …
worldwide. As the pandemic has progressed, the understanding of this disease has evolved …
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
A perspective on explainable artificial intelligence methods: SHAP and LIME
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of
machine learning (ML) models into a more digestible form. These methods help to …
machine learning (ML) models into a more digestible form. These methods help to …
Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
[HTML][HTML] A machine learning prediction model of respiratory failure within 48 hours of patient admission for COVID-19: model development and validation
Background Predicting early respiratory failure due to COVID-19 can help triage patients to
higher levels of care, allocate scarce resources, and reduce morbidity and mortality by …
higher levels of care, allocate scarce resources, and reduce morbidity and mortality by …
Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis
Background Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the
pancreas. Early identification of patients at high risk for developing a severe course of the …
pancreas. Early identification of patients at high risk for developing a severe course of the …
Predicting in‐hospital mortality in COVID‐19 older patients with specifically developed scores
M Covino, G De Matteis, ML Burzo… - Journal of the …, 2021 - Wiley Online Library
Background/Objectives Several scoring systems have been specifically developed for risk
stratification in COVID‐19 patients. Design We compared, in a cohort of confirmed COVID …
stratification in COVID‐19 patients. Design We compared, in a cohort of confirmed COVID …
Severity scores in COVID-19 pneumonia: a multicenter, retrospective, cohort study
Background Identification of patients on admission to hospital with coronavirus infectious
disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been …
disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been …
Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …