Automated assessment in programming courses: A case study during the COVID-19 era

E Barra, S López-Pernas, Á Alonso, JF Sánchez-Rada… - Sustainability, 2020 - mdpi.com
… This article presents a case study describing the transformation of the assessment method …
during the COVID-19 pandemic, by means of an automated student-centered assessment tool…

Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence

N Lessmann, CI Sánchez, L Beenen, LH Boulogne… - Radiology, 2021 - pubs.rsna.org
… CT severity score to patients highly suspected of having COVID-19 (5,6). Such standardized
… for automated reading of COVID-19 CT scans, including those used to diagnose COVID-19 (…

Automated assessment and tracking of COVID-19 pulmonary disease severity on chest radiographs using convolutional siamese neural networks

MD Li, NT Arun, M Gidwani, K Chang… - Radiology: Artificial …, 2020 - pubs.rsna.org
… can be useful for assessing COVID-19 disease progression (… COVID-19, with findings
overlapping other infections and pulmonary edema, chest radiographs can be useful for assessing

[HTML][HTML] Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence

N Lessmann, CI Sánchez, L Beenen, LH Boulogne… - Radiology, 2020 - ncbi.nlm.nih.gov
… of COVID-19 based on features seen on an unenhanced chest CT. Additionally, beyond
assessing the likelihood of COVID-19, … ) to patients with high suspicion of COVID-19 (5, 6). Such …

Covid-19 automated diagnosis and risk assessment through metabolomics and machine learning

J Delafiori, LC Navarro, RF Siciliano… - Analytical …, 2021 - ACS Publications
… Considering that the testing tool for COVID-19 introduced in this contribution is based on …
and modeling putative biomarkers for COVID-19 identification, risk assessment and low-risk …

Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks

MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little… - MedRxiv, 2020 - medrxiv.org
… CXRs can be useful for assessing COVID-19 disease progression (2) … for COVID-19, with
findings overlapping other infections and pulmonary edema, CXRs can be useful for assessing

[HTML][HTML] Development and validation of a machine learning approach for automated severity assessment of COVID-19 based on clinical and imaging data …

JC Quiroz, YZ Feng, ZY Cheng… - JMIR Medical …, 2021 - medinform.jmir.org
… Although automated assessment of chest CT scans to predict COVID-19 severity is of great
… a novel method for severity assessment of patients diagnosed with COVID-19. Our results …

Automated quantification of COVID-19 severity and progression using chest CT images

J Pu, JK Leader, A Bandos, S Ke, J Wang, J Shi… - European …, 2021 - Springer
… Fifty-five percent (11/20) of the subjects in the Dataset 2 test set demonstrated disease
progression and 45% (9/20) demonstrated regression based on the automated assessment. …

Automated risk assessment of COVID-19 patients at diagnosis using electronic healthcare records

FO Giuste, LL He, M Isgut, W Shi… - 2021 IEEE EMBS …, 2021 - ieeexplore.ieee.org
… Abstract—COVID-19 causes significant morbidity and mortality and early … automated patient
risk assessment model using a real-world hospital system dataset with over 17,000 COVID

Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs

TF Osborne, ZP Veigulis, DM Arreola, E Röösli… - PLoS …, 2020 - journals.plos.org
assess the utility of repurposing the CAN score as objective and automated risk assessment
tool to promptly enhance clinical decision making for Veterans diagnosed with COVID-19. …