Understanding the pathophysiology of typical acute respiratory distress syndrome and severe COVID-19
Introduction Typical acute respiratory distress syndrome (ARDS) and severe coronavirus-19
(COVID-19) pneumonia share complex pathophysiology, a high mortality rate, and an unmet …
(COVID-19) pneumonia share complex pathophysiology, a high mortality rate, and an unmet …
Covid-19 image data collection: Prospective predictions are the future
Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline
patient diagnosis and management has become more pressing than ever. As one of the …
patient diagnosis and management has become more pressing than ever. As one of the …
Computational lung modelling in respiratory medicine
Computational modelling of the lungs is an active field of study that integrates computational
advances with lung biophysics, biomechanics, physiology and medical imaging to promote …
advances with lung biophysics, biomechanics, physiology and medical imaging to promote …
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
H Mukherjee, S Ghosh, A Dhar, SM Obaidullah… - Applied …, 2021 - Springer
Since December 2019, the novel COVID-19's spread rate is exponential, and AI-driven tools
are used to prevent further spreading [1]. They can help predict, screen, and diagnose …
are used to prevent further spreading [1]. They can help predict, screen, and diagnose …
Close down the lungs and keep them resting to minimize ventilator-induced lung injury
This article is one of ten reviews selected from the Annual Update in Intensive Care and
Emergency Medicine 2018. Other selected articles can be found online at https://www …
Emergency Medicine 2018. Other selected articles can be found online at https://www …
Lung distribution of gas and blood volume in critically ill COVID-19 patients: a quantitative dual-energy computed tomography study
Background Critically ill COVID-19 patients have pathophysiological lung features
characterized by perfusion abnormalities. However, to date no study has evaluated whether …
characterized by perfusion abnormalities. However, to date no study has evaluated whether …
A survey on deep learning in COVID-19 diagnosis
According to the World Health Organization statistics, as of 25 October 2022, there have
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …
A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Background Lung diseases, both infectious and non-infectious, are the most prevalent
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
cause of mortality overall in the world. Medical research has identified pneumonia, lung …
In-vivo lung fibrosis staging in a bleomycin-mouse model: a new micro-CT guided densitometric approach
L Mecozzi, M Mambrini, F Ruscitti, E Ferrini… - Scientific reports, 2020 - nature.com
Although increasing used in the preclinical testing of new anti-fibrotic drugs, a thorough
validation of micro-computed tomography (CT) in pulmonary fibrosis models has not been …
validation of micro-computed tomography (CT) in pulmonary fibrosis models has not been …
Electrical Impedance Tomography Guided by Digital Twins and Deep Learning for Lung Monitoring
L Zhu, W Lu, M Soleimani, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In recent years, there has been an increasing interest in applying electrical impedance
tomography (EIT) in lung monitoring due to its advantages of being noninvasive …
tomography (EIT) in lung monitoring due to its advantages of being noninvasive …