Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
Deep learning for COVID-19 detection based on CT images
W Zhao, W Jiang, X Qiu - Scientific Reports, 2021 - nature.com
COVID-19 has tremendously impacted patients and medical systems globally. Computed
tomography images can effectively complement the reverse transcription-polymerase chain …
tomography images can effectively complement the reverse transcription-polymerase chain …
[HTML][HTML] Utilisation of deep learning for COVID-19 diagnosis
The COVID-19 pandemic that began in 2019 has resulted in millions of deaths worldwide.
Over this period, the economic and healthcare consequences of COVID-19 infection in …
Over this period, the economic and healthcare consequences of COVID-19 infection in …
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method
Understanding and classifying Chest X-Ray (CXR) and computerised tomography (CT)
images are of great significance for COVID-19 diagnosis. The existing research on the …
images are of great significance for COVID-19 diagnosis. The existing research on the …
Data capture and sharing in the COVID-19 pandemic: a cause for concern
L Dron, V Kalatharan, A Gupta, J Haggstrom… - The Lancet Digital …, 2022 - thelancet.com
Routine health care and research have been profoundly influenced by digital-health
technologies. These technologies range from primary data collection in electronic health …
technologies. These technologies range from primary data collection in electronic health …
xViTCOS: explainable vision transformer based COVID-19 screening using radiography
Objective: Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19)
across the globe has pushed the health care system in many countries to the verge of …
across the globe has pushed the health care system in many countries to the verge of …
COVID-19 case recognition from chest CT images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion
In healthcare, a multitude of data is collected from medical sensors and devices, such as X-
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
The world has been undergoing the most ever unprecedented circumstances caused by the
coronavirus pandemic, which is having a devastating global effect in different aspects of life …
coronavirus pandemic, which is having a devastating global effect in different aspects of life …
Covid-net ct-2: Enhanced deep neural networks for detection of covid-19 from chest ct images through bigger, more diverse learning
The COVID-19 pandemic continues to rage on, with multiple waves causing substantial
harm to health and economies around the world. Motivated by the use of computed …
harm to health and economies around the world. Motivated by the use of computed …