[HTML][HTML] COVID-19-the role of artificial intelligence, machine learning, and deep learning: a newfangled

DN Vinod, SRS Prabaharan - Archives of Computational Methods in …, 2023 - Springer
The absolute previously infected novel coronavirus (COVID-19) was found in Wuhan, China,
in December 2019. The COVID-19 epidemic has spread to more than 220 nations and …

[HTML][HTML] Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A …

L Farah, J Davaze-Schneider, T Martin… - Artificial intelligence in …, 2023 - Elsevier
Abstract Introduction Artificial Intelligence-based Medical Devices (AI-based MDs) are
experiencing exponential growth in healthcare. This study aimed to investigate whether …

Systematic review of artificial intelligence in acute respiratory distress syndrome for COVID-19 lung patients: a biomedical imaging perspective

JS Suri, S Agarwal, SK Gupta, A Puvvula… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
SARS-CoV-2 has infected over∼ 165 million people worldwide causing Acute Respiratory
Distress Syndrome (ARDS) and has killed∼ 3.4 million people. Artificial Intelligence (AI) has …

[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] A deep learning-based application for COVID-19 diagnosis on CT: the imaging COVID-19 AI initiative

L Topff, J Sánchez-García, R López-González… - Plos one, 2023 - journals.plos.org
Background Recently, artificial intelligence (AI)-based applications for chest imaging have
emerged as potential tools to assist clinicians in the diagnosis and management of patients …

Diagnosis/prognosis of covid-19 chest images via machine learning and hypersignal processing: Challenges, opportunities, and applications

A Mohammadi, Y Wang, N Enshaei… - IEEE Signal …, 2021 - ieeexplore.ieee.org
The novel coronavirus disease, COVID-19, has rapidly and abruptly changed the world as
we knew it in 2020. It has become the most unprecedented challenge to analytic …

[HTML][HTML] A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia

C Scapicchio, A Chincarini, E Ballante, L Berta… - European Radiology …, 2023 - Springer
Background The role of computed tomography (CT) in the diagnosis and characterization of
coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We …

[HTML][HTML] Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results

T Okuma, S Hamamoto, T Maebayashi… - Japanese Journal of …, 2021 - Springer
Purpose To evaluate whether early chest computed tomography (CT) lesions quantified by
an artificial intelligence (AI)-based commercial software and blood test values at the initial …

[HTML][HTML] COVID-19 Vaccination reduced pneumonia severity

N Wada, Y Li, T Hino, S Gagne, VI Valtchinov… - European Journal of …, 2022 - Elsevier
Purpose To investigate the effect of vaccinations and boosters on the severity of COVID-19
pneumonia on CT scans during the period of Delta and Omicron variants. Methods …

[PDF][PDF] Diagnose COVID-19 by using hybrid CNN-RNN for chest X-ray

BJ Khadhim, QK Kadhim, WK Shams… - Indones. J. Electr. Eng …, 2023 - academia.edu
Combating the COVID-19 epidemic has emerged as one of the most promising healthcare
the world's challenges have ever seen. COVID-19 cases must be accurately and quickly …