Exploring the barriers and facilities migrants face in accessing COVID-19 vaccines in Malaysia: A qualitative study. by Tharani Loganathan, Amirah Zafirah Zaini, Hazreen Abdul Majid

“…Digital appointment systems excluded many migrants due to language and literacy barriers, data privacy concerns, and the need for identity documents. …”
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Digital technologies for the Sustainable Development Goals by Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra

“…This study is motivated by the growing significance of DTs in addressing sustainability challenges and their critical contribution to achieving the SDGs while identifying barriers to their adoption. Using a systematic review, this review examines the contributions of various DTs, i.e., AI, IoT, blockchain, cloud computing, big data analytics, remote sensing, and GIS in addressing SDGs. …”
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A comprehensive survey on AI-enabled secure social industrial Internet of Things in the agri-food supply chain by Sajal Halder, Md Rafiqul Islam, Quazi Mamun, Arash Mahboubi, Patrick Walsh, Md Zahidul Islam

“…The findings indicate that AI-driven security solutions significantly enhance trust management, anomaly detection, and data privacy in SIIoT networks. The proposed taxonomy categorizes AI-enabled security mechanisms into five distinct areas, offering a structured reference for future research and practical implementations. …”
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Advancing Healthcare: Intelligent Speech Technology for Transcription, Disease Diagnosis, and Interactive Control of Medical Equipment in Smart Hospitals by Ahmed Elhadad, Safwat Hamad, Noha Elfiky, Fulayjan Alanazi, Ahmed I. Taloba, Rasha M. Abd El-Aziz

“…The federated learning framework enabled collaborative model training across multiple hospital sites, preserving patient privacy by avoiding raw data exchange. This distributed approach allowed the model to learn from diverse, real-world data while ensuring compliance with strict data protection standards. …”
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Developing an artificial intelligence-based progressive growing GAN for high-quality facial profile generation and evaluation through turing test and aesthetic analysis by Shahab Kavousinejad, Kazem Dalaie, Mohammad Behnaz, Soodeh Tahmasbi, Asghar Ebadifar, Hoori Mirmohammadsadeghi

“…This approach offers valuable applications in orthodontic education, treatment simulation, and data augmentation, particularly where patient privacy and dataset balance are critical. …”
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Gestión y evaluación del rendimiento en baloncesto: una revisión sistemática del software (Management and performance analysis in basketball: a systematic review of software) by Álvaro Bustamante, Pablo Burillo

“…Future studies will tackle data privacy and the improvement of the use of expert systems. …”
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Integrating digital health into pediatric obesity management: Current practices and future perspectives by Vittoria Frattolillo, Alessia Massa, Dalila Capone, Noemi Monaco, Gianmario Forcina, Pierluigi Di Filippo, Pierluigi Marzuillo, Emanuele Miraglia del Giudice, Anna Di Sessa

“…Despite these advancements, DHIs still face major challenges, including unequal access, data privacy concerns, and a lack of long-term outcome evaluations. …”
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A Blockchain-Based E-Participation Framework Utilizing Zero-Knowledge Proofs With Guaranteed Sampling and Differential Reward Mechanisms by Jungwon Seo, Juhui Lee, Yunjae Joo, Kangho Lee, Vijayan Sugumaran, Sooyong Park

“…Blockchain-based E-participation systems significantly enhance transparency, data integrity, and security compared to traditional E-participation methods. …”
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Digital assistants for education and support of patients with endocrine disorders by Milić Marko Kimi, Sinanović Šćepan, Prodović Tanja, Subotić Slobodan, Kilibarda Tatjana

“…However, challenges such as data privacy concerns, trust in technology, and acce-ssibility issues remain barriers to broader adoption. …”
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Iman di Era Digital: Praktik Konseling Pastoral Berbasis Teknologi Digital by Andreas Fredriko Simatupang, Gunawan Yuli Agung Suprabowo

“…However, there are also shortcomings such as a lack of mastery of digital technology among companions, data privacy and security issues, formal legitimacy from church authorities, as well as a potential reduction in the depth of interpersonal relationships. …”
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Enhancing heart disease classification with M2MASC and CNN-BiLSTM integration for improved accuracy by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni

“…Blockchain integration ensures stored health data’s security, transparency, and immutability, addresses privacy concerns, and promotes trust in the predictive system. …”
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Implementing community-based interventions for the management of chronic conditions in low- and middle-income countries: A scoping review of qualitative evidence. by Syreen Hassan, Nancy Kagwanja, Brahima Diallo, Robinson Oyando, Pablo Perel, Anthony Etyang, Benjamin Tsofa, Ellen Nolte, IHCoR-Africa Collaborators

“…Eligible studies were those with a qualitative design that explored implementation challenges and facilitators of community-based interventions. Data were thematically analysed and interpreted using the Socio-Ecological Model (SEM) to capture multi-level influences on implementation. …”
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Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework by Khadija Pervez, Syed Irfan Sohail, Faiza Parwez, Muhammad Abdullah Zia

“…Hierarchical federated learning reduced communication costs by 15% while maintaining data privacy. The integration of explainable artificial intelligence improved the transparency of model decisions, with a high area under the ROC curve (AUC) of 0.98 for the classification of leukemia cells. …”
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Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review by Caixia Li, Yina Zhao, Yang Bai, Baoquan Zhao, Yetunde Oluwafunmilayo Tola, Carmen WH Chan, Meifen Zhang, Xia Fu

“…The methodological quality of the included studies was evaluated using a rating rubric designed for simulation-based research and the risk of bias in nonrandomized studies of interventions tool for quasi-experimental studies. …”
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New Image Crypto-Compression Scheme Based on Ecc and Chaos Theory for High-Speed and Reliable Transmission of Medical Images in the IOMT by Kinani Khadija El, Amounas Fatima, Bendaoud Salma, Azrour Mourade, Badiy Mohamed

“…Ensuring the security and privacy of medical data is crucial when integrating with smart and intelligent sensor devices within the hospital environment. …”
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Insights from platelet donors in tertiary care hospitals by Swapna Yalamanchili, Vijayashree Raghavan, Femela Muniraj, V. Mythily

“…Statistical Analysis: Data were analyzed using descriptive statistics and percentage analysis with SPSS version 23. …”
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Biometrically-independent fuzzy signatures: signing with biometrics without embedding them by Saki Otsuki, Haruna Higo, Toshiyuki Isshiki, Kengo Mori, Satoshi Obana, Hiroto Tamiya, Kenji Yasunaga

“…However, FS faces two significant privacy concerns. First, using biometric information as the signing key restricts users’ ability to manage multiple distinct keys for different applications. …”
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Socioculturally Appropriate Internet-Based Geriatric Care Model for Older Adults Living With HIV: Experience-Based Co-Design Approach by Kristina M Kokorelias, Marina B Wasilewski, Dean Valentine, Andrew D Eaton, Erica Dove, Paige Brown, Stuart McKinlay, Christine L Sheppard, Esther Su, Hardeep K Singh, Ashley Flanagan, Alice Zhabokritsky, Reham Abdelhalim, Rabea Parpia, Rahel Zewude, Laura Jamieson, Sharon Walmsley, Luxey Sirisegaram

“…The process involved 3 phases: identifying needs through interviews and questionnaires, codeveloping a care model prototype through focus groups and a workshop, and refining the model using feedback from a world café format. Data were analyzed using thematic content analysis. …”
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Research Progress in Artificial Intelligence for Central Serous Chorioretinopathy: A Systematic Review by Ping Zhang, Qing Zhang, Xinya Hu, Wei Chi, Weihua Yang

“…Incorporating federated learning for privacy-preserving data sharing and prioritizing explainability will be essential to overcoming barriers to physician adoption and improving trust in AI-driven clinical decision-making. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. …”
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