Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment

R Fusco, R Grassi, V Granata, SV Setola… - Journal of Personalized …, 2021 - mdpi.com
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …

Medical imaging and computational image analysis in COVID-19 diagnosis: A review

S Nabavi, A Ejmalian, ME Moghaddam, AA Abin… - Computers in Biology …, 2021 - Elsevier
Abstract Coronavirus disease (COVID-19) is an infectious disease caused by a newly
discovered coronavirus. The disease presents with symptoms such as shortness of breath …

Lymphadenopathy after BNT162b2 Covid-19 Vaccine: Preliminary Ultrasound Findings

V Granata, R Fusco, SV Setola, R Galdiero, C Picone… - Biology, 2021 - mdpi.com
Simple Summary Eccentric cortical thickening with wide echogenic hilum and oval shape,
asymmetric eccentric cortical thickening with wide echogenic hilum and oval shape …

Chest X‐Ray Findings in COVID‐19 Patients Presenting to Primary Care during the Peak of the First Wave of the Pandemic in Qatar: Their Association with Clinical …

A Abougazia, A Alnuaimi, A Mahran, T Ali… - Pulmonary …, 2021 - Wiley Online Library
When managing coronavirus disease 2019 (COVID‐19) patients, radiological imaging
complements clinical evaluation and laboratory parameters. We aimed to assess the …

Performance of a severity score on admission chest radiograph in predicting clinical outcomes in hospitalized patients with coronavirus disease (COVID-19)

RA Reeves, C Pomeranz, AA Gomella… - American Journal of …, 2020 - Am Roentgen Ray Soc
Background: Chest radiograph (CXR) is typically obtained early in patients admitted with
COVID-19 and may help guide prognosis and initial management decisions. Objective: To …

Imaging severity COVID-19 assessment in vaccinated and unvaccinated patients: comparison of the different variants in a high volume Italian reference center

V Granata, R Fusco, A Villanacci… - Journal of Personalized …, 2022 - mdpi.com
Purpose: To analyze the vaccine effect by comparing five groups: unvaccinated patients with
Alpha variant, unvaccinated patients with Delta variant, vaccinated patients with Delta …

Correlations between comorbidities, chest x-ray findings, and C-Reactive protein level in patients with COVID-19

M Fachri, M Hatta, E Widowati, R Akaputra… - Annals of Medicine …, 2022 - journals.lww.com
Background: Patients with comorbidities have an increased risk for severe coronavirus
disease (COVID-19) symptoms, including abnormal inflammation. Chest X-rays and C …

Ai for COVID-19 detection from radiographs: Incisive analysis of state of the art techniques, key challenges and future directions

R Karthik, R Menaka, M Hariharan, GS Kathiresan - IRBM, 2022 - Elsevier
Background and objective In recent years, Artificial Intelligence has had an evident impact
on the way research addresses challenges in different domains. It has proven to be a huge …

Quantitative analysis of residual COVID-19 lung CT features: consistency among two commercial software

V Granata, S Ianniello, R Fusco, F Urraro… - Journal of Personalized …, 2021 - mdpi.com
Objective: To investigate two commercial software and their efficacy in the assessment of
chest CT sequelae in patients affected by COVID-19 pneumonia, comparing the consistency …

A pictorial review of the role of imaging in the detection, management, histopathological correlations, and complications of COVID-19 pneumonia

B Brogna, E Bignardi, C Brogna, M Volpe, G Lombardi… - Diagnostics, 2021 - mdpi.com
Imaging plays an important role in the detection of coronavirus (COVID-19) pneumonia in
both managing the disease and evaluating the complications. Imaging with chest computed …