[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 …

[HTML][HTML] Towards the use of big data in healthcare: A literature review

G Dicuonzo, G Galeone, M Shini, A Massari - Healthcare, 2022 - mdpi.com
The interest in new and more advanced technological solutions is paving the way for the
diffusion of innovative and revolutionary applications in healthcare organizations. The …

Interaction-enhanced and time-aware graph convolutional network for successive point-of-interest recommendation in traveling enterprises

Y Liu, H Wu, K Rezaee, MR Khosravi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Extensive user check-in data incorporating user preferences for location is collected through
Internet of Things (IoT) devices, including cell phones and other sensing devices in location …

An enhanced hyper-parameter optimization of a convolutional neural network model for leukemia cancer diagnosis in a smart healthcare system

JB Awotunde, AL Imoize, OB Ayoade, MK Abiodun… - Sensors, 2022 - mdpi.com
Healthcare systems in recent times have witnessed timely diagnoses with a high level of
accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been …

Big data maturity assessment models: a systematic literature review

ZA Al-Sai, MH Husin, SM Syed-Mohamad… - Big Data and Cognitive …, 2022 - mdpi.com
Big Data and analytics have become essential factors in managing the COVID-19 pandemic.
As no company can escape the effects of the pandemic, mature Big Data and analytics …

Predicting the length-of-stay of pediatric patients using machine learning algorithms

N Boff Medeiros, FS Fogliatto… - … Journal of Production …, 2025 - Taylor & Francis
The management of hospitals' resource capacity has a strong impact on the quality of care,
and the length-of-stay (LOS) of patients is an indicator that reflects its efficiency and …

Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): Healthcare systems perspective

The healthcare sector is very interested in machine learning (ML) and artificial intelligence
(AI). Nevertheless, applying AI applications in scientific contexts is difficult due to …

The influence of industry 4.0 and 5.0 for distance learning education in times of pandemic for a modern society

JB Awotunde, EF Ayo, GJ Ajamu… - Advances in distance …, 2023 - taylorfrancis.com
The emergence of profound technological changes around us supported by disruptive
advances in both software and hardware has really helped modern educational systems …

Discussing artificial intelligence's role in combatting the COVID-19 pandemic: a review

RA Radhi - Mesopotamian Journal of Artificial Intelligence in …, 2023 - mesopotamian.press
The COVID-19 pandemic is considered one of the most dangerous diseases that have
emerged in recent years, as it began at the end of 2019 in China and quickly spread to …

Effect of AI counsellor's nonverbal immediacy behaviour on user satisfaction: serial mediation of positive expectancy violation and rapport

M Namkoong, YJ Park, S Lee, G Park - Behaviour & Information …, 2024 - Taylor & Francis
The aim of this study is to verify the causal relationship between the nonverbal immediacy
behaviour (NIB) of an artificial intelligence (AI) agent for mental health counselling and user …