[HTML][HTML] Artificial intelligence for COVID-19: a systematic review

L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …

Using artificial intelligence to improve public health: a narrative review

DB Olawade, OJ Wada, AC David-Olawade… - Frontiers in Public …, 2023 - frontiersin.org
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of
healthcare. AI has been predominantly employed in medicine and healthcare …

A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods

A Saygılı - Applied Soft Computing, 2021 - Elsevier
The COVID-19 outbreak has been causing a global health crisis since December 2019. Due
to this virus declared by the World Health Organization as a pandemic, the health authorities …

[HTML][HTML] Application of machine learning in diagnosis of COVID-19 through X-ray and CT images: a scoping review

H Mohammad-Rahimi, M Nadimi… - Frontiers in …, 2021 - frontiersin.org
Coronavirus disease, first detected in late 2019 (COVID-19), has spread fast throughout the
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …

Future IoT tools for COVID‐19 contact tracing and prediction: a review of the state‐of‐the‐science

V Jahmunah, VK Sudarshan, SL Oh… - … journal of imaging …, 2021 - Wiley Online Library
In 2020 the world is facing unprecedented challenges due to COVID‐19. To address these
challenges, many digital tools are being explored and developed to contain the spread of …

Are we overdoing it? Changes in diagnostic imaging workload during the years 2010–2020 including the impact of the SARS-CoV-2 pandemic

M Winder, AJ Owczarek, J Chudek, J Pilch-Kowalczyk… - Healthcare, 2021 - mdpi.com
Since the 1990s, there has been a significant increase in the number of imaging
examinations as well as a related increase in the healthcare expenditure and the exposure …

Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data

R Alizadehsani, D Sharifrazi, NH Izadi… - ACM Transactions on …, 2021 - dl.acm.org
The new coronavirus has caused more than one million deaths and continues to spread
rapidly. This virus targets the lungs, causing respiratory distress which can be mild or …

Machine learning-based research for COVID-19 detection, diagnosis, and prediction: a survey

Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

COVID-19 in the age of artificial intelligence: a comprehensive review

J Rasheed, A Jamil, AA Hameed, F Al-Turjman… - Interdisciplinary …, 2021 - Springer
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …