Sociodemographic predictors of digital health adoption in patients with asthma and COPD by Daniela Téllez, Elroy Boers, Leanne Kaye, Vy Vuong, Meredith A. Barrett

“…The objective of this study was to evaluate how sociodemographic characteristics may relate to the adoption of digital health among patients with asthma and chronic obstructive pulmonary disease (COPD).MethodsAdults residing in the US and using a digital platform for asthma or COPD management were surveyed to understand (1) level of comfort sharing health data with their healthcare providers and (2) the presence of remote care concerns, specifically clinical, technological, privacy and financial concerns. …”
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Towards Efficient, Secure, and Fine-Grained Access Control System in MSNs with Flexible Revocations by Shi-Feng Sun, Chen Lyu, Dawu Gu, Yuanyuan Zhang, Yanli Ren

“…This convenience comes at the cost of some serious security and privacy issues. In this work, we propose a novel privacy-preserving scheme for MSNs, which can efficiently solve some of the most serious security and privacy issues such as data confidentiality, fine-grained access control, and flexible revocation. …”
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Developing an Institutional AI Digital Assistant in an Age of Industry 5.0 by Bart Rienties, Thomas Ullmann, Felipe Tessarolo, Joseph Kwarteng, John Domingue, Tim Coughlan, Emily Coughlan, Duygu Bektik

“…However, there are concerns around the use of such p-AIDA tools, particularly in terms of academic integrity, data privacy, intellectual property, and the impact on the quality of education. …”
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Predictors of fairness assessment for social media screening in employee selection by Alicja Balcerak, Jacek Woźniak, Alexandra Zbuchea

“…METHODOLOGY: The empirical data were obtained through an e-questionnaire survey among c. 150 young Polish Internet users in 2021. …”
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A Predictive Models for Advertisement Campaign Budget Allocation by Iqra kousar

“…Research should focus on real-time data integration and ethical concerns around data privacy to ensure responsible use. …”
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Assessing the Implementation and Awareness of Children’s Rights in Pediatric Hospital: A Comparative Study of Parents’ and Children’s Perspectives by Vasiliki Georgousopoulou, Chrysoula Dafogianni, Pinelopi Vlotinou, Aspasia Serdari, Ioannis Koutelekos, Anna Tsiakiri, Dimitrios Cassimos, Maria Lavdaniti, Maria Amanatidou, Georgios Manomenidis

“…A total of 250 parents and 150 children participated. Data were collected using a structured questionnaire assessing six domains of children’s rights: access to information, participation, privacy, non-discrimination, play and recreation, and parental support. …”
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Towards enhancing security for upcoming 6G-ready smart grids through federated learning and cloud solutions by J. Jithish, Nagarajan Mahalingam, Bo Wang, Kiat Seng Yeo

“…However, training DL models with sensitive user data may violate data privacy regulations, necessitating novel approaches. …”
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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. by Eman Ali Aldhahri, Abdulwahab Ali Almazroi, Monagi Hassan Alkinani, Mohammed Alqarni, Elham Abdullah Alghamdi, Nasir Ayub

“…The framework incorporates multimodal, privacy-aware, and scalable driver analytics, enabling its use in intelligent transportation systems and urban logistics infrastructures.…”
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Impact of Artificial Intelligence on Human Resource Management Practices: A Qualitative Study in Hyderabad, Pakistan’s Banking Sector by Sahar Akhtar Mughal, Mohammed Bilal Memon, Faraz Ali Memon

“…The core areas, such as performance evaluation, employee motivation, retention strategies, and ethical practices are highly influenced by AI. Simultaneously, its use raises new concerns, for instance, data privacy. …”
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A systematic review on artificial intelligence approaches for smart health devices by Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano

“…We aim to provide a comprehensive overview of the AI methodologies used, the neural network architectures adopted, and the algorithms employed, as well as examine the privacy and security issues related to the management of health data collected by wearable IoT devices. …”
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Barriers to the utilization of the Sehaty mobile health application in Saudi Arabia: a cross-sectional survey of non-healthcare users by Haitham Alzghaibi

“…Usability challenges, including unintuitive navigation, were also widely reported. Privacy and security concerns—particularly regarding transparency and data protection—were major deterrents to app use. …”
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Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things by Poshan Belbase, Rajan Bhusal, Sapana Sharma Ghimire, Shreesti Sharma, Bibek Banskota

“…Despite challenges such as data privacy concerns and algorithmic biases, the transformative potential of these technologies cannot be overstated. …”
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Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines by Hui Wang, Anh Dang, Zihao Wu, Son Mac

“…Primary concerns lie in ethical usage, accuracy, and data privacy. Most universities actively respond and provide diverse types of resources, such as syllabus templates, workshops, shared articles, and one-on-one consultations; focusing on a range of topics, namely general technical introduction, ethical concerns, pedagogical applications, preventive strategies, data privacy, limitations, and detective tools. …”
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Young people in social networks: scaling social interactions and practices of forming individual media environments (based on regional studies) by Dmitrii V. Zernov, Nadezhda V. Shalyutina

“…The obtained data allow to identify the main elements that shape the practices of media using: 1) the choice of digital space of interactions (according to the parameters of publicity-privacy) and the practice of individual combination of social networks and messengers; 2) the number of accounts used; 3) user control over the personal information posted in the profile. …”
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FedGAN: Federated diabetic retinopathy image generation. by Hassan Kamran, Syed Jawad Hussain, Sohaib Latif, Imtiaz Ali Soomro, Mrim M Alnfiai, Nouf Nawar Alotaibi

“…Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. …”
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Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System by Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang

“…This architecture effectively eliminates the need for sensitive data sharing. We validate the framework using real-world datasets from Shenzhen Metro, and our key innovations include a privacy-preserving mechanism through federated parameter aggregation, joint spatial-temporal feature learning without the need for raw data transmission, and enhanced generalization across heterogeneous stations.…”
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Investigation of the Blockchain Structure for Hydroxyapatite-Based Scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Panda A.

“…In the era of the Internet, data is collected constantly. Today we need applications that ensure the privacy of users’ data. …”
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Improving the Leakage Rate of Ciphertext-Policy Attribute-Based Encryption for Cloud Computing by Leyou Zhang, Xiaoxu Gao, Fuchun Guo, Gongcheng Hu

“…A Leakage-Resilient Ciphertext-Policy Attribute-based Encryption (LR-CP-ABE) not only supports the fine-grained access control to encrypted data but also guarantees the security of the data under the side-channel attacks. …”
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Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions by Vishwa Amitkumar Patel, Pronaya Bhattacharya, Sudeep Tanwar, Rajesh Gupta, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma

“…The open nature of communication channels puts data privacy at high risk and affects the model training of collected data at centralized servers. …”
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Secure latent Dirichlet allocation by Thijs Veugen, Thijs Veugen, Vincent Dunning, Michiel Marcus, Bart Kamphorst

“…We present a novel, decentralized approach to train an LDA model securely without having to share any information about the content of the documents. We preserve the privacy of the individual parties using a combination of privacy enhancing technologies. …”
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