[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters

AS Albahri, YL Khaleel, MA Habeeb, RD Ismael… - Computers and …, 2024 - Elsevier
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
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 …

The recent progress and applications of digital technologies in healthcare: a review

M Senbekov, T Saliev, Z Bukeyeva… - … of telemedicine and …, 2020 - Wiley Online Library
Background. The implementation of medical digital technologies can provide better
accessibility and flexibility of healthcare for the public. It encompasses the availability of …

[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …

OS Albahri, AA Zaidan, AS Albahri, BB Zaidan… - Journal of infection and …, 2020 - Elsevier
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …

[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …

[HTML][HTML] The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges

Y Siriwardhana, G Gür, M Ylianttila, M Liyanage - Ict Express, 2021 - Elsevier
COVID-19 pandemic caused a massive impact on healthcare, social life, and economies on
a global scale. Apparently, technology has a vital role to enable ubiquitous and accessible …

Realizing an effective COVID-19 diagnosis system based on machine learning and IOT in smart hospital environment

KH Abdulkareem, MA Mohammed… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The aim of this study is to propose a model based on machine learning (ML) and Internet of
Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)

MM Islam, F Karray, R Alhajj, J Zeng - Ieee Access, 2021 - ieeexplore.ieee.org
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis

MK Mahbub, M Biswas, L Gaur, F Alenezi… - Information Sciences, 2022 - Elsevier
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …