Metaverse for healthcare: a survey on potential applications, challenges and future directions

R Chengoden, N Victor, T Huynh-The, G Yenduri… - IEEE …, 2023 - ieeexplore.ieee.org
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …

Recent advancements in emerging technologies for healthcare management systems: a survey

SB Junaid, AA Imam, AO Balogun, LC De Silva… - Healthcare, 2022 - mdpi.com
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …

Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions

M Osama, AA Ateya, MS Sayed, M Hammad, P Pławiak… - Sensors, 2023 - mdpi.com
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …

[HTML][HTML] Digitalization in omnichannel healthcare supply chain businesses: The role of smart wearable devices

V Chang, QA Xu, K Hall, YA Wang, MM Kamal - Journal of Business …, 2023 - Elsevier
The advancement in technology has fostered the prevalence of the Internet of Things (IoT),
which enhances healthcare business quality, offers a seamless customer experience, and …

[HTML][HTML] A framework to measure readiness and barriers for the implementation of Industry 4.0: A case approach

K Govindan, G Arampatzis - Electronic Commerce Research and …, 2023 - Elsevier
Large businesses perceive the vital usefulness of Industry 4.0. They recognize how
beneficial its implementation is to reinforce business competitiveness and to conserve, or …

Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts

A Ahmed, R Xi, M Hou, SA Shah, S Hameed - IEEE Access, 2023 - ieeexplore.ieee.org
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

Data-driven multi-criteria decision support method for electric vehicle selection

Z Tian, H Liang, R Nie, X Wang, J Wang - Computers & Industrial …, 2023 - Elsevier
Electric vehicles (EVs) are becoming one of the most popular forms of low-carbon
transportations due to growing awareness of environmental protection and vigorous …

Large language models streamline automated machine learning for clinical studies

S Tayebi Arasteh, T Han, M Lotfinia, C Kuhl… - Nature …, 2024 - nature.com
A knowledge gap persists between machine learning (ML) developers (eg, data scientists)
and practitioners (eg, clinicians), hampering the full utilization of ML for clinical data …

Towards a responsive supply chain based on the industry 5.0 dimensions: A novel decision-making method

S Nayeri, Z Sazvar, J Heydari - Expert Systems with Applications, 2023 - Elsevier
Recently, managers and researchers have introduced the concept of Industry 5.0 that tried to
improve Industry 4.0 by adding some crucial principles such as sustainability, resiliency, and …

Artificial intelligence-based secured power grid protocol for smart city

A Sulaiman, B Nagu, G Kaur, P Karuppaiah… - Sensors, 2023 - mdpi.com
Due to the modern power system's rapid development, more scattered smart grid
components are securely linked into the power system by encircling a wide electrical power …