[HTML][HTML] Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

Pulmonary function and COVID-19

M Thomas, OJ Price, JH Hull - Current opinion in physiology, 2021 - Elsevier
In people recovering from COVID-19, there is concern regarding potential long-term
pulmonary sequelae and associated impairment of functional capacity. Data published thus …

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember… - Medical image …, 2022 - Elsevier
Artificial intelligence (AI) methods for the automatic detection and quantification of COVID-19
lesions in chest computed tomography (CT) might play an important role in the monitoring …

[HTML][HTML] The applications of artificial intelligence in chest imaging of COVID-19 patients: a literature review

ME Laino, A Ammirabile, A Posa, P Cancian… - Diagnostics, 2021 - mdpi.com
Diagnostic imaging is regarded as fundamental in the clinical work-up of patients with a
suspected or confirmed COVID-19 infection. Recent progress has been made in diagnostic …

[HTML][HTML] Comparison of semiquantitative chest CT scoring systems to estimate severity in coronavirus disease 2019 (COVID-19) pneumonia

A Inoue, H Takahashi, T Ibe, H Ishii, Y Kurata… - European …, 2022 - Springer
Objectives To compare the clinical usefulness among three different semiquantitative
computed tomography (CT) severity scoring systems for coronavirus disease 2019 (COVID …

Prognostic value of CT integrated with clinical and laboratory data during the first peak of the COVID-19 pandemic in Northern Italy: A nomogram to predict …

E Angeli, S Dalto, S Marchese, L Setti… - European journal of …, 2021 - Elsevier
Purpose To evaluate the prognostic role of chest computed tomography (CT), alone or in
combination with clinical and laboratory parameters, in COVID-19 patients during the first …

Feasibility of a new lung ultrasound protocol to determine the extent of lung injury in COVID-19 pneumonia

G Volpicelli, T Fraccalini, L Cardinale, G Stranieri… - Chest, 2023 - Elsevier
Background Lung ultrasound (LUS) scanning is useful to diagnose and assess the severity
of pulmonary lesions during COVID-19-related ARDS (CoARDS). A conventional LUS score …

[HTML][HTML] Different lung parenchyma quantification using dissimilar segmentation software: a multi-center study for COVID-19 patients

C Risoli, M Nicolò, D Colombi, M Moia, F Rapacioli… - Diagnostics, 2022 - mdpi.com
Background: Chest Computed Tomography (CT) imaging has played a central role in the
diagnosis of interstitial pneumonia in patients affected by severe acute respiratory syndrome …

[HTML][HTML] Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effect

Y Ohno, K Aoyagi, K Arakita, Y Doi, M Kondo… - Japanese journal of …, 2022 - Springer
Purpose Using CT findings from a prospective, randomized, open-label multicenter trial of
favipiravir treatment of COVID-19 patients, the purpose of this study was to compare the …

[HTML][HTML] Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm

K Yasaka, H Saigusa, O Abe - Journal of Imaging Informatics in Medicine, 2024 - Springer
This study aimed to investigate the effects of intravenous injection of iodine contrast agent
on the tracheal diameter and lung volume. In this retrospective study, a total of 221 patients …