Artificial intelligence-driven assessment of radiological images for COVID-19
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
[HTML][HTML] A review of mathematical model-based scenario analysis and interventions for COVID-19
Mathematical model-based analysis has proven its potential as a critical tool in the battle
against COVID-19 by enabling better understanding of the disease transmission dynamics …
against COVID-19 by enabling better understanding of the disease transmission dynamics …
Ensemble deep learning and internet of things‐based automated COVID‐19 diagnosis framework
AS Kini, AN Gopal Reddy, M Kaur… - Contrast Media & …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) is a viral infection caused by SARS‐CoV‐2. The
modalities such as computed tomography (CT) have been successfully utilized for the early …
modalities such as computed tomography (CT) have been successfully utilized for the early …
RETRACTED ARTICLE: A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
COVID-19 is a virus that causes upper respiratory tract and lung infections. The number of
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …
Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT scan and X-ray image …
Recently, various methods have been developed to identify COVID-19 cases, such as PCR
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
testing and non-contact procedures such as chest X-rays and computed tomography (CT) …
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
This study was sought to investigate the feasibility of using smartphone-based breathing
sounds within a deep learning framework to discriminate between COVID-19, including …
sounds within a deep learning framework to discriminate between COVID-19, including …
COVID-19 classification using chest X-ray images: A framework of CNN-LSTM and improved max value moth flame optimization
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
lives of millions of people worldwide in the last 2 years. Because of the disease's rapid …
Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic: A scientometric review using text mining
The COVID-19 pandemic has wreaked havoc in every country in the world, with serious
health-related, economic, and social consequences. Since its outbreak in March 2020, many …
health-related, economic, and social consequences. Since its outbreak in March 2020, many …
Artificial intelligence in surveillance, diagnosis, drug discovery and vaccine development against COVID-19
As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …
Deep ensemble model for classification of novel coronavirus in chest X‐ray images
The novel coronavirus, SARS‐CoV‐2, can be deadly to people, causing COVID‐19. The
ease of its propagation, coupled with its high capacity for illness and death in infected …
ease of its propagation, coupled with its high capacity for illness and death in infected …