COVID mortality prediction with machine learning methods: a systematic review and critical appraisal
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data
Objectives We aimed to develop deep learning models using longitudinal chest X-rays
(CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive …
(CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive …
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 …
3D CT-inclusive deep-learning model to predict mortality, ICU admittance, and intubation in COVID-19 patients
A Di Napoli, E Tagliente, L Pasquini, E Cipriano… - Journal of Digital …, 2023 - Springer
Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for
assessing lung damage. AI-powered predictive models could be useful to better allocate …
assessing lung damage. AI-powered predictive models could be useful to better allocate …
[HTML][HTML] The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis
Artificial intelligence (AI) systems have become critical in support of decision-making. This
systematic review summarizes all the data currently available on the AI-assisted CT-Scan …
systematic review summarizes all the data currently available on the AI-assisted CT-Scan …
A multiclass radiomics method–based WHO severity scale for improving COVID-19 patient assessment and disease characterization from CT scans
Objectives The aim of this study was to evaluate the severity of COVID-19 patients' disease
by comparing a multiclass lung lesion model to a single-class lung lesion model and …
by comparing a multiclass lung lesion model to a single-class lung lesion model and …
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] Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of …
C Vásquez-Venegas, CG Sotomayor, B Ramos… - Journal of clinical …, 2024 - mdpi.com
Background/Objectives: The accurate quantification of ground-glass opacities (GGOs) and
consolidation volumes has prognostic value in COVID-19 patients. Nevertheless, the …
consolidation volumes has prognostic value in COVID-19 patients. Nevertheless, the …
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different …
Purpose This study aims at exploiting artificial intelligence (AI) for the identification,
segmentation and quantification of COVID-19 pulmonary lesions. The limited data …
segmentation and quantification of COVID-19 pulmonary lesions. The limited data …