Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence
Infection with SARS-CoV-2 has dominated discussion and caused global healthcare and
economic crisis over the past 18 months. Coronavirus disease 19 (COVID-19) causes mild …
economic crisis over the past 18 months. Coronavirus disease 19 (COVID-19) causes mild …
Performance of machine learning models in identifying and predicting patients' need for intensive care in emergency department triage: A systematic review
Y Chen, H Chen, Q Sun, R Zhai, X Liu, J Zhou… - The American Journal of …, 2023 - Elsevier
Background The emergency department (ED) triage process serves as a crucial first step for
patients seeking acute care, This initial assessment holds crucial implications for patient …
patients seeking acute care, This initial assessment holds crucial implications for patient …
Determination of the severity and percentage of COVID-19 infection through a hierarchical deep learning system
The coronavirus disease 2019 (COVID-19) has caused millions of deaths and one of the
greatest health crises of all time. In this disease, one of the most important aspects is the …
greatest health crises of all time. In this disease, one of the most important aspects is the …
[HTML][HTML] An open medical platform to share source code and various pre-trained weights for models to use in deep learning research
Deep learning-based applications have great potential to enhance the quality of medical
services. The power of deep learning depends on open databases and innovation …
services. The power of deep learning depends on open databases and innovation …
[HTML][HTML] Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong …
Objective We aimed to evaluate the reporting quality of research articles that applied deep
learning to medical imaging. Using the Checklist for Artificial Intelligence in Medical Imaging …
learning to medical imaging. Using the Checklist for Artificial Intelligence in Medical Imaging …
[PDF][PDF] Artificial intelligence for the triage of COVID-19 patients at the emergency department: a systematic review
P Redruello-Guerrero, C Jimenez-Gutierrez… - Signa Vitae, 2022 - researchgate.net
The aim of this article is to systematically analyze the available literature on the efficacy and
validity of artificial intelligence (AI) applied to medical imaging techniques in the triage of …
validity of artificial intelligence (AI) applied to medical imaging techniques in the triage of …
Predicting the COVID-19 Patients Status Using Chest CT Scan Findings: A risk assessment model based on decision tree analysis
Background The role of chest computed tomography (CT) to diagnose coronavirus disease
2019 (COVID-19) is still an open field to be explored. The aim of this study was to apply the …
2019 (COVID-19) is still an open field to be explored. The aim of this study was to apply the …
Exploring the Synergistic Potential of Radiomics and Laboratory Biomarkers for Enhanced Identification of Vulnerable COVID-19 Patients
C Gerhards, V Haselmann, SF Schaible, V Ast, M Kittel… - Microorganisms, 2023 - mdpi.com
Background: Severe courses and high hospitalization rates were ubiquitous during the first
pandemic SARS-CoV-2 waves. Thus, we aimed to examine whether integrative diagnostics …
pandemic SARS-CoV-2 waves. Thus, we aimed to examine whether integrative diagnostics …
HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting
Millions of people died in the COVID-19 pandemic, which pressured hospitals and
healthcare workers into keeping up with the speed and intensity of the outbreak, resulting in …
healthcare workers into keeping up with the speed and intensity of the outbreak, resulting in …
Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning Perspective
Multiplex assays that provide simultaneous measurement of multiple analytes in biological
samples have now developed into widely used technologies in the study of diseases, drug …
samples have now developed into widely used technologies in the study of diseases, drug …