Healthcare professionals’ perspectives on artificial intelligence (AI)-based mobile applications (apps) for diabetes education and behavioural management by Phei-Ching Lim, Yung-Wey Chong, Qiu-Ting Chie, Hadzliana Zainal, Kok-Lim Alvin Yau, Soo-Huat Teoh

“…However, significant concerns were raised about accessibility for older adults, data privacy, and the apps’ ability to modify entrenched behaviours without human intervention. …”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…The system guarantees data privacy and utilizes decentralized information analysis using Federated Learning. …”
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A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks by Muhammad Irfan Khalid, Ibtisam Ehsan, Ayman Khallel Al-Ani, Jawaid Iqbal, Saddam Hussain, Syed Sajid Ullah, Nayab

“…A decentralized network utilizing end-to-end encryption eliminates the risk of data loss associated with centralized data control by enabling clients to transmit their files securely. …”
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Barriers to access to care in the implementation of telemedicine in public hospitals in Southern Ethiopia: A phenomenological qualitative study. by Getachew Nigussie Bolado, Bizuayehu Atinafu Ataro, Christian Kebede Gadabo, Tamirat Ersino Kebamo, Worku Mimanu Minuta, Abenezer Duta Wolde

“…The data analysis was conducted using OpenCode 4.02 software, and a content thematic analysis was executed following Colaizzi's 7-step method.…”
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Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution by Marco Bolpagni, Susanna Pardini, Silvia Gabrielli

“…Results: Stakeholders perceived AI-based data processing as beneficial for personalized treatment in a secure, privacy-preserving environment. …”
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GP remote consultations with marginalised patients and the importance of place during care: a qualitative study of the role of place in GP consultations by Ada Humphrey, Steven Cummins, Carl May, Fiona Stevenson

“…Results: The core themes emerging from the data included challenges securing privacy during remote consultations and the loss of formal healthcare spaces as important places of care. …”
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Analyzing the trend of government support for cloud computing usage in e-government architecture by Muhammad Younus, Eko Priyo Purnomo, Achmad Nurmandi, Dyah Mutiarin, Halimah Abdul Manaf, Fathiya Mumtaz, Tiara Khairunnisa

“…Overall, challenges persist, spanning from concerns regarding data safekeeping and privacy, but it also signifies a strategic transition towards harnessing digital technologies to provide more agile, citizen-focused public services.…”
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Dual defense: Combining preemptive exclusion of members and knowledge distillation to mitigate membership inference attacks by Jun Niu, Peng Liu, Chunhui Huang, Yangming Zhang, Moxuan Zeng, Kuo Shen, Yangzhong Wang, Suyu An, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, He Wang, Gaofei Wu, Anmin Fu, Chunjie Cao, Xiaoyan Zhu, Yuqing Zhang

“…Membership inference (MI) attacks threaten user privacy through determining if a given data example has been used to train a target model. …”
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Enabling All In-Edge Deep Learning: A Literature Review by Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

“…Moreover, most of the time central cloud servers are used for such computation, thus opening up other significant challenges, such as high latency, increased communication costs, and privacy concerns. …”
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Assessment of Patient Satisfaction Attaining Primary Health Care Services at Health Centers in Mogadishu, Somalia by Abdi HA, Warsame MO, Adan MA, Hassan MA

“…Quantitative data was analyzed using appropriate statistical methods, such as descriptive statistics and chi-square tests, to examine the relationships between patient satisfaction and various factors the statistical significance was declared at p-value < 0.05. …”
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A mixed-method study to inform the design of a video observed therapy app to monitor individuals with TB in the Dominican Republic by Julio Arturo Canario-Guzmán, Ricardo Elias-Melgen, Eddys Rafael Mendoza, Luis Felipe Arias, Roberto Espinal, Jeannette Báez, Sarah Iribarren

“…Data integration was achieved by comparing convergent and divergent results.ResultsParticipants expressed a positive attitude towards using DAT to facilitate communication with health personnel to support treatment adherence. …”
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Recommendations for Successful Development and Implementation of Digital Health Technology Tools by Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

“…Key messages include the need to understand specific health care challenges, form interdisciplinary teams, incorporate patient feedback, select appropriate measurement technologies, ensure data integration and interoperability, apply advanced data science techniques, use scalable designs and open standards, comply with regulatory requirements, and maintain continuous evaluation and improvement. …”
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Determinants of Antenatal Care Service Satisfaction among Women in Ethiopia: A Systematic Review and Meta-Analysis by Kenbon Seyoum

“…The extracted data were analyzed using STATA version 14 software and the results were presented using the forest plot. …”
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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

“…GLOBE citizen science data has been used to develop automated data classification routines that enable information discovery of mosquito larvae and land cover labels. …”
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Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability by Jaime Govea, Rommel Gutierrez, William Villegas-Ch, Alexandra Maldonado Navarro

“…This paper proposes a hybrid model for predictive cyber risk assessment that integrates Graph Neural Networks (GNNs) for relational pattern modeling, a Transformer-based language model (CyberBERT) for semantic representation of logs and traffic data, and a Federated Learning framework to preserve data privacy during training. …”
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When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review by Patrick G Kidman, Rachel G Curtis, Amanda Watson, Carol A Maher

“…ObjectiveWe explored the abandonment of apps used for managing physical activity, diet, alcohol, smoking, and mental health in free-living conditions, examining the duration of app use before abandonment and the underlying reasons. …”
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How AI-powered consultation services in internet hospitals influence patient satisfaction: A structural analysis by Junkai Wang, Linru Fu, Zeguang Huang, Kan Hu, Zhizhuo Lin, Qiuhong Tang

“…A dual-path analytical framework was developed: the technical path uses the E-S-QUAL model to assess the quality of intelligent consultation guidance services in terms of efficiency, system availability, privacy, and fulfillment; the experiential path is based on the Patient Experience-Driven Model, which integrates service encounter theory (focusing on patient-system interactions) and the Stimulus–Organism–Response theory (explaining how external stimuli trigger psychological and behavioral responses). …”
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Detecting Emerging DGA Malware in Federated Environments via Variational Autoencoder-Based Clustering and Resource-Aware Client Selection by Ma Viet Duc, Pham Minh Dang, Tran Thu Phuong, Truong Duc Truong, Vu Hai, Nguyen Huu Thanh

“…Detecting such evolving threats is especially challenging in decentralized environments where raw traffic data cannot be aggregated due to privacy or policy constraints. …”
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Blockchain Enabled Federated Learning for Detection of Malicious Internet of Things Nodes by Rachid Alami, Anjanava Biswas, Varun Shinde, Ahmad Almogren, Ateeq Ur Rehman, Tahseen Shaikh

“…This will not only enhance the accuracy of the unified federated learning model but also preserve the privacy of each cluster because no actual data is sent to fog layer for central model training. …”
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TriagE-NLU: A Natural Language Understanding System for Clinical Triage and Intervention in Multilingual Emergency Dialogues by Béatrix-May Balaban, Ioan Sacală, Alina-Claudia Petrescu-Niţă

“…The system is built on a federated learning architecture to ensure data privacy and adaptability across regions and is trained using TriageX, a synthetic, clinically grounded dataset covering five languages (English, Spanish, Romanian, Arabic, and Mandarin). …”
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