[HTML][HTML] Prognostic findings for ICU admission in patients with COVID-19 pneumonia: Baseline and follow-up chest CT and the added value of artificial intelligence

ME Laino, A Ammirabile, L Lofino, DJ Lundon… - Emergency …, 2022 - Springer
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 …

[HTML][HTML] A promising and challenging approach: radiologists' perspective on deep learning and artificial intelligence for fighting COVID-19

T Wang, Z Chen, Q Shang, C Ma, X Chen, E Xiao - Diagnostics, 2021 - mdpi.com
Chest X-rays (CXR) and computed tomography (CT) are the main medical imaging
modalities used against the increased worldwide spread of the 2019 coronavirus disease …

[HTML][HTML] Clinical and pulmonary function analysis in long-COVID revealed that long-term pulmonary dysfunction is associated with vascular inflammation pathways …

S Sanhueza, MA Vidal, MA Hernandez… - Frontiers in …, 2023 - ncbi.nlm.nih.gov
Methods Patients with L-TPD were classified according to the results of their computer-
tomography (CT) scan and diffusing capacity of the lungs for carbon monoxide adjusted for …

[PDF][PDF] Artificial intelligence for the triage of COVID-19 patients at the emergency department: a systematic review

P Redruello-Guerrero, C Jimenez-Gutierrez… - Signa Vitae, 2022 - researchgate.net
The aim of this article is to systematically analyze the available literature on the efficacy and
validity of artificial intelligence (AI) applied to medical imaging techniques in the triage of …

[HTML][HTML] Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community

A Bottrighi, M Pennisi - Information, 2023 - mdpi.com
Artificial intelligence (AI) is becoming increasingly important, especially in the medical field.
While AI has been used in medicine for some time, its growth in the last decade is …

Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning Perspective

PC Guest, D Popovic, J Steiner - … : Methods and Applications for COVID-19 …, 2022 - Springer
Multiplex assays that provide simultaneous measurement of multiple analytes in biological
samples have now developed into widely used technologies in the study of diseases, drug …

Chest CT in COVID‐19 patients: A clinical need

B Cao, J Iredell, P Middleton… - Journal of Medical …, 2023 - Wiley Online Library
Introduction The COVID‐19 pandemic caused by the coronavirus SARS‐CoV‐2 has
resulted in a global healthcare crisis. The provision of computed tomography (CT) imaging …

[HTML][HTML] Automated quantitative lung CT improves prognostication in non-ICU COVID-19 patients beyond conventional biomarkers of disease

P Palumbo, MM Palumbo, F Bruno, G Picchi… - Diagnostics, 2021 - mdpi.com
(1) Background: COVID-19 continues to represent a worrying pandemic. Despite the high
percentage of non-severe illness, a wide clinical variability is often reported in real-world …