COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis

HIGH SKIN MELANIN CONTENT, VITAMIN D DEFICIENCY AND IMMUNITY: POTENTIAL INTERFERENCE FOR SEVERITY OF COVID-19

(2021) MUHAMMAD TOREQUL ISLAM   FARMACIA

Dietary supplements, vitamins and minerals as potential interventions against viruses: Perspectives for COVID-19

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Deep learning for real-time semantic segmentation: Application in ultrasound imaging

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Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients

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COVID‐19 disease severity assessment using CNN model

(2021) Emrah Irmak   IET Image Processing

Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil

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COVID-19 diagnosis by routine blood tests using machine learning

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Challenges and Scientific Prospects of the Newest Generation of mRNA-Based Vaccines against SARS-CoV-2

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Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China

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Laboratory abnormalities in patients with COVID-2019 infection

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The Clinical and Chest CT Features Associated with Severe and Critical COVID-19 Pneumonia

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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

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Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis

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A new threat from an old enemy: Re‑emergence of coronavirus (Review)

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Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology

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Facing the COVID-19 emergency: we can and we do

(2020) Andrea Giovagnoni   Radiologia Medica

Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19

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Comorbid Chronic Diseases and Acute Organ Injuries Are Strongly Correlated with Disease Severity and Mortality among COVID-19 Patients: A Systemic Review and Meta-Analysis

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Rapid identification of COVID-19 severity in CT scans through classification of deep features

(2020) Zekuan Yu et al.   Biomedical Engineering Online

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

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Past, Present, and Future of Face Recognition: A Review

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COVID-19 diagnosis —A review of current methods

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COVID-19 Chest Computed Tomography to Stratify Severity and Disease Extension by Artificial Neural Network Computer-Aided Diagnosis

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A Survey on Transfer Learning

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