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�…

[HTML][HTML] Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive�…

SE Bibri, A Alexandre, A Sharifi, J Krogstie�- Energy Informatics, 2023 - Springer
There have recently been intensive efforts aimed at addressing the challenges of
environmental degradation and climate change through the applied innovative solutions of�…

MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification

D Bala, MS Hossain, MA Hossain, MI Abdullah…�- Neural Networks, 2023 - Elsevier
The monkeypox virus poses a new pandemic threat while we are still recovering from
COVID-19. Despite the fact that monkeypox is not as lethal and contagious as COVID-19�…

[HTML][HTML] A medical multimodal large language model for future pandemics

F Liu, T Zhu, X Wu, B Yang, C You, C Wang, L Lu…�- NPJ Digital�…, 2023 - nature.com
Deep neural networks have been integrated into the whole clinical decision procedure
which can improve the efficiency of diagnosis and alleviate the heavy workload of�…

[HTML][HTML] Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review

YH Bhosale, KS Patnaik�- Neural processing letters, 2023 - Springer
Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth
century. Covid-19 has already endangered the lives of millions of people worldwide due to�…

[HTML][HTML] Trends in using IoT with machine learning in health prediction system

A Aldahiri, B Alrashed, W Hussain�- Forecasting, 2021 - mdpi.com
Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process�…

X-ray image based COVID-19 detection using evolutionary deep learning approach

SMJ Jalali, M Ahmadian, S Ahmadian…�- Expert Systems with�…, 2022 - Elsevier
Radiological methodologies, such as chest x-rays and CT, are widely employed to help
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns�…

[HTML][HTML] 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�…

Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

A Motwani, PK Shukla, M Pawar�- Artificial Intelligence in Medicine, 2022 - Elsevier
During the COVID-19 pandemic, the patient care delivery paradigm rapidly shifted to remote
technological solutions. Rising rates of life expectancy of older people, and deaths due to�…

Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review

H Hassan, Z Ren, C Zhou, MA Khan, Y Pan…�- Computer Methods and�…, 2022 - Elsevier
Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests�…