Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
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 …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
Impact of perceived risk on consumers technology acceptance in online grocery adoption amid covid-19 pandemic
S Habib, NN Hamadneh - Sustainability, 2021 - mdpi.com
E-commerce industry has witnessed a phenomenal growth globally due to the sudden
spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with …
spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with …
[HTML][HTML] COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images
The term COVID-19 is an abbreviation of Coronavirus 2019, which is considered a global
pandemic that threatens the lives of millions of people. Early detection of the disease offers …
pandemic that threatens the lives of millions of people. Early detection of the disease offers …
Detection of COVID-19 based on chest X-rays using deep learning
The coronavirus disease (COVID-19) is rapidly spreading around the world. Early diagnosis
and isolation of COVID-19 patients has proven crucial in slowing the disease's spread. One …
and isolation of COVID-19 patients has proven crucial in slowing the disease's spread. One …
[HTML][HTML] A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
The deadly coronavirus has not just devastated the lives of millions but has put the entire
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …
healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a …
Pre-processing methods in chest X-ray image classification
Background The SARS-CoV-2 pandemic began in early 2020, paralyzing human life all over
the world and threatening our security. Thus, the need for an effective, novel approach to …
the world and threatening our security. Thus, the need for an effective, novel approach to …
A review of deep learning algorithms and their applications in healthcare
H Abdel-Jaber, D Devassy, A Al Salam, L Hidaytallah… - Algorithms, 2022 - mdpi.com
Deep learning uses artificial neural networks to recognize patterns and learn from them to
make decisions. Deep learning is a type of machine learning that uses artificial neural …
make decisions. Deep learning is a type of machine learning that uses artificial neural …