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[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …
society as a whole. Health care organizations have responded to the first phase of the …
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19
In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Literature survey shows that convolutional neural network (CNN)-based pretrained models
have been largely used for CoronaVirus Disease 2019 (COVID-19) classification using …
have been largely used for CoronaVirus Disease 2019 (COVID-19) classification using …
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
Abstract The World Health Organization (WHO) declared novel coronavirus 2019 (COVID-
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
19), an infectious epidemic caused by SARS-CoV-2, as Pandemic in March 2020. It has …
Mitigating bias in radiology machine learning: 2. Model development
There are increasing concerns about the bias and fairness of artificial intelligence (AI)
models as they are put into clinical practice. Among the steps for implementing machine …
models as they are put into clinical practice. Among the steps for implementing machine …
A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
This paper proposes a multichannel deep learning approach for lung disease detection
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
The COVID-19 pandemic has been affecting the world since December 2019, and
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
Automatic prediction of COVID− 19 from chest images using modified ResNet50
M Elpeltagy, H Sallam - Multimedia tools and applications, 2021 - Springer
Abstract Recently coronavirus 2019 (COVID-2019), discovered in Wuhan city of China in
December 2019 announced as world pandemic by the World Health Organization (WHO). It …
December 2019 announced as world pandemic by the World Health Organization (WHO). It …