Machine learning (ML) in medicine: review, applications, and challenges

AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

[HTML][HTML] Innovative applications of artificial intelligence during the COVID-19 pandemic

C Lv, W Guo, X Yin, L Liu, X Huang, S Li, L Zhang - Infectious Medicine, 2024 - Elsevier
The COVID-19 pandemic has created unprecedented challenges worldwide. Artificial
intelligence (AI) technologies hold tremendous potential for tackling key aspects of …

Deep learning in public health: Comparative predictive models for COVID-19 case forecasting

MU Tariq, SB Ismail - Plos one, 2024 - journals.plos.org
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of develo** accurate and reliable …

Early detection of cognitive decline using machine learning algorithm and cognitive ability test

A Revathi, R Kaladevi, K Ramana… - Security and …, 2022 - Wiley Online Library
Elderly people are the assets of the country and the government can ensure their peaceful
and healthier life. Life expectancy of individuals has expanded with technological …

[HTML][HTML] FedSGDCOVID: Federated SGD COVID-19 detection under local differential privacy using chest X-ray images and symptom information

TT Ho, KD Tran, Y Huang - Sensors, 2022 - mdpi.com
Coronavirus (COVID-19) has created an unprecedented global crisis because of its
detrimental effect on the global economy and health. COVID-19 cases have been rapidly …

Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges

Z Zhou, G Liu, Y Tang - arxiv preprint arxiv:2305.10091, 2023 - arxiv.org
Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI)
technique. However, current studies and applications need to address its scalability, non …

[Retracted] Automated System for Identifying COVID‐19 Infections in Computed Tomography Images Using Deep Learning Models

KH Abdulkareem, SA Mostafa… - Journal of healthcare …, 2022 - Wiley Online Library
Coronavirus disease 2019 (COVID‐19) is a novel disease that affects healthcare on a global
scale and cannot be ignored because of its high fatality rate. Computed tomography (CT) …

Symptom‐based COVID‐19 prognosis through AI‐based IoT: a bioinformatics approach

M Pal, S Parija, RK Mohapatra, S Mishra… - BioMed Research …, 2022 - Wiley Online Library
Objective. Internet of Things (IoT) integrates several technologies where devices learn from
the experience of each other thereby reducing human‐intervened likely errors. Modern …

[HTML][HTML] A contemporary review on the important role of in silico approaches for managing different aspects of COVID-19 crisis

M Moradi, R Golmohammadi, A Najafi… - Informatics in Medicine …, 2022 - Elsevier
In the last century, the emergence of in silico tools has improved the quality of healthcare
studies by providing high quality predictions. In the case of COVID-19, these tools have …