Privacy-Preserving Efficient Data Retrieval in IoMT Based on Low-Cost Fog Computing by Na Wang, Yuanyuan Cai, Junsong Fu, Jie Xu

“…For these, this paper proposes a data privacy protection and efficient retrieval scheme for IoMT based on low-cost fog computing. …”
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The Safety of Digital Mental Health Interventions: Findings and Recommendations From a Qualitative Study Exploring Users’ Experiences, Concerns, and Suggestions by Rayan Taher, Daniel Stahl, Sukhi Shergill, Jenny Yiend

“…ResultsThe analysis of the interview transcripts yielded 3 main themes: Nonresponse: A Concern, a Risk, and How Users Mitigate It, Symptom Deterioration and Its Management, and Concerns Around Data Privacy and How to Mitigate Them. ConclusionsThe results of this study led to 7 recommendations on how the safety of DMHIs can be improved: provide “easy access” versions of key information, use “approved by...” badges, anticipate and support deterioration, provide real-time feedback, acknowledge the lack of personalization, responsibly manage access, and provide genuine crisis support. …”
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Open challenges and opportunities in federated foundation models towards biomedical healthcare by Xingyu Li, Lu Peng, Yu-Ping Wang, Weihua Zhang

“…This approach not only enhances the capabilities of FMs in medical diagnostics and personalized treatment but also addresses critical concerns about data privacy and security in healthcare. This survey reviews the current applications of FMs in federated settings, underscores the challenges, and identifies future research directions including scaling FMs, managing data diversity, and enhancing communication efficiency within FL frameworks. …”
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Pneumonia detection from X-ray images using federated learning–An unsupervised learning approach by Neeta Rana, Hitesh Marwaha

“…In similar studies, medical institutions can collaborate and develop efficient medical tools without breaching patients’ data privacy.…”
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Emerging Technologies Driving Zero Trust Maturity Across Industries by Hrishikesh Joshi

“…Furthermore, the integration of AI and machine learning in Zero Trust frameworks raises questions about data privacy, algorithmic bias, and the need for explainable security decisions. …”
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An Evaluation on the Potential of Large Language Models for Use in Trauma Triage by Kelvin Le, Jiahang Chen, Deon Mai, Khang Duy Ricky Le

“…Overall, the literature highlights multifaceted applications of LLMs, especially in emergency trauma settings, albeit with clear limitations and ethical considerations, such as artificial hallucinations, biased outputs and data privacy issues. There remains room for more rigorous research into refining the consistency and capabilities of LLMs, ensuring their effective integration in real-world trauma triaging to improve patient outcomes and resource utilisation.…”
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Privacy preservation in data intensive environment by Jyotir Moy Chatterjee, Raghvendra Kumar, Prasant Kumar Pattnaik, Vijender Kumar Solanki, Noor Zaman

“…Considering delicate social insurance data, privacy protection is a significant concern, when patients' mediclinical services information is utilized for exploration purposes. …”
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Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications by Irum Feroz, Nadeem Ahmad

“…Findings from RQ2 highlighted gaps in usability models, such as the lack of age-specific guidance for multimodal interaction, error recovery, and data privacy. These results underscore the need to define a new usability framework and incorporate blockchain to meet the unique needs of older adults in mHealth applications, supporting both secure and accessible healthcare management.…”
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MEDIA IN AN ERA OF DIGITAL GLOBALIZATION: THE ETHICAL PERSPECTIVES by GABRIEL T. NYITSE, STEPHEN WANG

“…It addresses issues related to media ethics, social media use, data privacy, and the impact of legislation on digital citizenship. …”
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A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

“…By deploying AI models on edge devices and using FL, data privacy is maintained while enabling collaboration across industrial assets. …”
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FedWFC: Federated learning with weighted fuzzy clustering for handling heterogeneous data in MIoT networks by Le Sun, Shunqi Liu, Ghulam Muhammad

“…Moreover, the transmission of medical data over networks raises concerns regarding data privacy, necessitating thorough consideration. To address these challenges, we propose FedWFC, a federated learning method that combines a novel importance weight with fuzzy k-means clustering to effectively handle the heterogeneous medical data in MIoT networks. …”
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Survey on Data Analysis in Social Media: A Practical Application Aspect by Qixuan Hou, Meng Han, Zhipeng Cai

“…Finally, we list existing challenges and suggest promising future research directions in terms of data privacy, 5G wireless network, and multilingual support.…”
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Blockchain based adaptive federated learning in computational power network by LIU Tianrui, WANG Lianhai, WANG Qizheng, XU Shujiang, ZHANG Shuhui, WANG Yingxiaochun

“…To cope with the complicated multicenter computing collaboration and requirements for data privacy and security in computational power networks, federated learning was recognized for its inherent advantages in privacy protection and edge arithmetic resource utilization. …”
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Recent advances on federated learning systems and the design for computing power Internet of things by LU Jianfeng, QI Pan, PAN Linyu, LI Bing, CAO Shuqin, JIN Yan'an

“…Within the context of privacy protection requirements for CPIoT, federated learning (FL) that is a distributed learning technique upholds data privacy, and offers a novel approach to addressing data silos for executing complex training tasks, and training large models. …”
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Challenges and opportunities of artificial intelligence in African health space by Muslim A. Alaran, Salim Kamaludeen Lawal, Mustapha Husseini Jiya, Salihu Alhassan Egya, Mohamed Mustaf Ahmed, Abdullateef Abdulsalam, Usman Abubakar Haruna, Muhammad Kabir Musa, Don Eliseo Lucero-Prisno

“…However, to fully realize its benefits, it is necessary to consider issues concerning data privacy, equity, infrastructure integration, and ethical policy development. …”
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Evaluating the Performance of Smart Meters: Insights into Energy Management, Dynamic Pricing and Consumer Behavior by Konstantinos G. Koukouvinos, George K. Koukouvinos, Pavlos Chalkiadakis, Stavrοs D. Kaminaris, Vasilios A. Orfanos, Dimitrios Rimpas

“…Despite their advantages, challenges such as data privacy, installation costs and electromagnetic radiation concerns, persist. …”
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Hybrid quantum enhanced federated learning for cyber attack detection by G. Subramanian, M. Chinnadurai

“…The conventional procedures developed to detects are centralized and often struggles with concerns like data privacy and communication overheads. Due to this, conventional methods are unable to adapt quickly for different threats. …”
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Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review by Abdulmalik Fareeq Saber, Sirwan Khalid Ahmed, Safin Hussein, Karzan Qurbani

“…Challenges and ethical considerations in integrating AI into healthcare include data privacy, algorithm validation, and the need for professional training.…”
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ROBOTISATION AND SERVICE AUTOMATION IN THE TOURISM AND HOSPITALITY SECTOR: A META-STUDY (1993-2024) by Dušan MANDIĆ, Miroslav KNEŽEVIĆ, Dušan BOROVČANIN, Aleksandra VUJKO

“…Despite this growth, gaps remain in experimental robotics research and studies on data privacy, human-robot interactions, and financial viability. …”
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Artificial intelligence assistance in English for communication competence of english for specific purposes by Muchamad Muchibbuddin Waly, Aniqotul Milla Zakiyyah

“…However, concerns were raised regarding AI's reliability, data privacy, potential over-reliance on AI, and limited enhancement of creativity and critical thinking skills. …”
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