A systematic review of healthcare recommender systems: Open issues, challenges, and techniques

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 118823 - 118823

Published: Sept. 14, 2022

Language: Английский

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A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

BioMedInformatics, Journal Year: 2023, Volume and Issue: 3(3), P. 563 - 584

Published: July 21, 2023

Digital twins (DTs) are becoming increasingly popular in various industries, and their potential for healthcare the metaverse continues to attract attention. The is a virtual world where individuals interact with digital replicas of themselves environment. This paper focuses on personalized precise medicine examines current application DTs within metaverse. Healthcare practitioners may use immersive worlds replicate medical scenarios, improve teaching experiences, provide care patients. However, integration poses technical, regulatory, ethical challenges that need be addressed, including data privacy, standards, accessibility. Through this examination, we aim insights into transformative encourage further research development exciting domain.

Language: Английский

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AI-enhanced blockchain technology: A review of advancements and opportunities

Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: 225, P. 103858 - 103858

Published: March 1, 2024

Language: Английский

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Exploring the Role of 6G Technology in Enhancing Quality of Experience for m-Health Multimedia Applications: A Comprehensive Survey

Sensors, Journal Year: 2023, Volume and Issue: 23(13), P. 5882 - 5882

Published: June 25, 2023

Mobile-health (m-health) is described as the application of medical sensors and mobile computing to healthcare provision. While 5G networks can support a variety m-health services, applications such telesurgery, holographic communications, augmented/virtual reality are already emphasizing their limitations. These limitations apply both Quality Service (QoS) Experience (QoE). However, 6G predicted proliferate over next decade in order solve these limitations, enabling high QoS QoE. Currently, academia industry concentrating efforts on network, which expected be major game-changer telecom will significantly impact all other related verticals. The exponential growth multimedia traffic (e.g., audio, video, images) creates additional challenges for service providers delivering suitable QoE customers. As insufficient represent expectations end-users, services critical. In recent years, has attracted considerable attention established itself critical component network operation evaluation. This article aims provide first thorough survey promising research subject that exists at intersection two well-established domains, i.e., m-health, driven by continuing define 6G. survey, particular, link between seemingly distinct domains identifying discussing role from viewpoint. We start exploring vital transmission. Moreover, we examine how have evolved cellular network’s generations then shed light several technologies projected enable future improve QoE, including reconfigurable intelligent surfaces, extended radio terahertz enormous ultra-reliable low-latency blockchain. contrast earlier papers subject, present an in-depth assessment functions anticipated via Multiple 6G-enabled reviewed, various use cases illustrated demonstrate transforming human life. Finally, discuss some intriguing associated with burgeoning applications.

Language: Английский

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Cryptography Algorithms for Enhancing IoT Security

Internet of Things, Journal Year: 2023, Volume and Issue: 22, P. 100759 - 100759

Published: March 23, 2023

Language: Английский

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Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(3), P. 282 - 282

Published: March 3, 2024

The evolution of Patient-Generated Health Data (PGHD) represents a major shift in healthcare, fueled by technological progress. advent PGHD, with technologies such as wearable devices and home monitoring systems, extends data collection beyond clinical environments, enabling continuous patient engagement their health management. Despite the growing prevalence there is lack clear understanding among stakeholders about its meaning, along concerns security, privacy, accuracy. This article aims to thoroughly review clarify PGHD examining origins, types, foundations, challenges it faces, especially terms privacy security regulations. emphasizes role transforming healthcare through patient-centric approaches, understanding, personalized care, while also exploring emerging addressing issues, offering comprehensive perspective on current state future directions PGHD. methodology employed for this followed Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines Rayyan, AI-Powered Tool Literature Reviews. approach ensures systematic coverage available literature focusing various aspects outlined objective. encompassed 36 peer-reviewed articles from esteemed publishers databases, reflecting diverse range methodologies, including interviews, regular articles, empirical studies address three RQs exploratory, impact assessment, solution-oriented questions related Additionally, future-oriented fourth RQ not covered above review, we have incorporated existing domain knowledge articles. inclusion provide answers encompassing both basic advanced measures thereby enhancing depth scope our analysis.

Language: Английский

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Paradigm Shift for Predictive Maintenance and Condition Monitoring from Industry 4.0 to Industry 5.0: A Systematic Review, Challenges and Case Study

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102935 - 102935

Published: Sept. 1, 2024

Language: Английский

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RETRACTED ARTICLE: IoT in healthcare: a review of services, applications, key technologies, security concerns, and emerging trends

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(33), P. 80283 - 80283

Published: Feb. 27, 2024

Language: Английский

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Generative-AI-Driven Human Digital Twin in IoT Healthcare: A Comprehensive Survey

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(21), P. 34749 - 34773

Published: July 24, 2024

The Internet of Things (IoT) can significantly enhance the quality human life, specifically in healthcare, attracting extensive attentions to IoT healthcare services. Meanwhile, digital twin (HDT) is proposed as an innovative paradigm that comprehensively characterize replication individual body world and reflect its physical status real time. Naturally, HDT envisioned empower beyond application monitoring by acting a versatile vivid testbed, simulating outcomes guiding practical treatments. However, successfully establishing requires high-fidelity virtual modeling strong information interactions but possibly with scarce, biased, noisy data. Fortunately, recent popular technology called generative artificial intelligence (GAI) may be promising solution because it leverage advanced AI algorithms automatically create, manipulate, modify valuable while diverse This survey particularly focuses on implementation GAI-driven healthcare. We start introducing background potential HDT. Then, we delve into fundamental techniques present overall framework After that, explore realization detail, including GAI-enabled data acquisition, communication, management, modeling, analysis. Besides, discuss typical applications revolutionized HDT, namely, personalized health diagnosis, prescription, rehabilitation. Finally, conclude this highlighting some future research directions.

Language: Английский

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Metaverse healthcare supply chain: Conceptual framework and barrier identification

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108113 - 108113

Published: Feb. 24, 2024

Language: Английский

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