Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
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 …

A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic

O Ali, A AlAhmad, H Kahtan - Procedia Computer Science, 2023 - Elsevier
Abstract Information technology (IT) has enabled the initiation of an innovative healthcare
system. An innovative healthcare system integrates new technologies such as cloud …

[HTML][HTML] A new approach in identifying the psychological impact of COVID-19 on university student's academic performance

ES Atlam, A Ewis, MM Abd El-Raouf, O Ghoneim… - Alexandria Engineering …, 2022 - Elsevier
COVID-19 was first discovered in Wuhan, China on December 2019. It is one of the worst
pandemics in human history. The education sector is one of the sectors most affected by the …

Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model

LR de Araújo Morais, GS da Silva Gomes - Applied Soft Computing, 2022 - Elsevier
The use of models to predict disease cases is common in epidemiology and related areas,
in the context of Covid-19, both ARIMA and Neural Network models can be applied for …

Automated triage system for intensive care admissions during the COVID-19 pandemic using hybrid XGBoost-AHP approach

MA Deif, AAA Solyman, MH Alsharif, P Uthansakul - Sensors, 2021 - mdpi.com
The sudden increase in patients with severe COVID-19 has obliged doctors to make
admissions to intensive care units (ICUs) in health care practices where capacity is …

[HTML][HTML] Evaluation of 5G techniques affecting the deployment of smart hospital infrastructure: Understanding 5G, AI and IoT role in smart hospital

A Kumar, A Nanthaamornphong, R Selvi… - Alexandria Engineering …, 2023 - Elsevier
Smart Hospital will play a key role in improving the quality of services (QoS) related to the
health sector. In the present scenario, it is impossible to accommodate an ageing population …

A comprehensive review of imaging findings in COVID-19-status in early 2021

A Afshar-Oromieh, H Prosch… - European journal of …, 2021 - Springer
Medical imaging methods are assuming a greater role in the workup of patients with COVID-
19, mainly in relation to the primary manifestation of pulmonary disease and the tissue …

Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images

I Haq, T Mazhar, Q Nasir, S Razzaq, SAH Mohsan… - Symmetry, 2022 - mdpi.com
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …

Design and Implementation of an Open-Source and Internet-of-Things-Based Health Monitoring System

S Ashraf, SP Khattak, MT Iqbal - Journal of Low Power Electronics and …, 2023 - mdpi.com
Across the globe, COVID-19 had far-reaching impacts that included healthcare facilities,
public health, as well as all forms of transport. Hospitals were experiencing staffing …

The threat of adversarial attack on a COVID-19 CT image-based deep learning system

Y Li, S Liu - Bioengineering, 2023 - mdpi.com
The coronavirus disease 2019 (COVID-19) rapidly spread around the world, and resulted in
a global pandemic. Applying artificial intelligence to COVID-19 research can produce very …