Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
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 …
(COVID-19), researchers and medical experts started working day and night to search for …
Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature …
There have recently been intensive efforts aimed at addressing the challenges of
environmental degradation and climate change through the applied innovative solutions 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
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 …
COVID-19. Despite the fact that monkeypox is not as lethal and contagious as COVID-19 …
A medical multimodal large language model for future pandemics
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 …
which can improve the efficiency of diagnosis and alleviate the heavy workload of …
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 …
century. Covid-19 has already endangered the lives of millions of people worldwide due to …
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 …
(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 …
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
Role of artificial intelligence in COVID-19 detection
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 …
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
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 …
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
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 …
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …