Clinical update on COVID-19 for the emergency clinician: Presentation and evaluation

B Long, BM Carius, S Chavez, SY Liang… - The American journal of …, 2022 - Elsevier
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 …

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
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 …

[HTML][HTML] A machine learning prediction model of respiratory failure within 48 hours of patient admission for COVID-19: model development and validation

S Bolourani, M Brenner, P Wang, T McGinn… - Journal of medical …, 2021 - jmir.org
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 …

Explainable artificial intelligence methods in combating pandemics: A systematic review

F Giuste, W Shi, Y Zhu, T Naren, M Isgut… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
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 …

EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis

B Kui, J Pintér, R Molontay, M Nagy… - Clinical and …, 2022 - Wiley Online Library
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 …

[HTML][HTML] Severity scores in COVID-19 pneumonia: a multicenter, retrospective, cohort study

A Artero, M Madrazo, M Fernández-Garcés… - Journal of general …, 2021 - Springer
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 …

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 …

[HTML][HTML] Prognostic models in COVID-19 infection that predict severity: a systematic review

C Buttia, E Llanaj, H Raeisi-Dehkordi, L Kastrati… - European journal of …, 2023 - Springer
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …

[HTML][HTML] Performance of the quick COVID-19 severity index and the Brescia-COVID respiratory severity scale in hospitalized patients with COVID-19 in a community …

G Rodriguez-Nava, MA Yanez-Bello… - International Journal of …, 2021 - Elsevier
Objective To evaluate the performance of the Quick COVID-19 Severity Index (qCSI) and the
Brescia-COVID Respiratory Severity Scale (BCRSS) in predicting intensive care unit (ICU) …

Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2

K Gao, R Wang, J Chen, L Cheng, J Frishcosy… - Chemical …, 2022 - ACS Publications
Despite tremendous efforts in the past two years, our understanding of severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), virus–host interactions, immune …