Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…Recently, there has been growing interest in the automated analysis of lung sounds using Deep Learning (DL). Nevertheless, the execution of large DL models in the cloud often leads to latency, dependency on internet connectivity, and potential privacy issues due to the transmission of sensitive health data. …”
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5G-MobiCare: A Secure 5G Assisted Remote Mobile Health Monitoring Platform by Hemangi Goswami, Tarun Pandey, Hiten Choudhury

“…This setup generates vast amounts of real-time data, making secure device authentication essential to ensure data privacy and security. …”
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Analyzing the Efficacy of Artificial Intelligence in Facilitating Medico-Legal Investigations and Enhancing Forensic Processes for Emergency Trauma Patients: A Systematic Review by Rajiv Ratan Singh, Sachin Kumar Tripathi, Azad Kumar Bharti, Pradeep Kumar Yadav

“…However, medicolegal concerns must be addressed for responsible AI implementation, including patient privacy, data security, liability, and ethics. Conclusion: AI can revolutionize trauma and emergency care by improving diagnosis, decision-making, and patient outcomes. …”
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The impacts of virtual try-on for online shopping on consumer purchase intention: the moderating role of technology experience by Quan Hong Nguyen, Truong Thi Hanh, Nghiem Le My Hanh, Nguyen Duong Lan Nhi, Dang Ngoc Anh, Ha Thuy Linh

“…The study examines VTO’s effects on purchase intentions and explores the moderating role of technological experience. Data from 557 individuals in Vietnam were analyzed using Structural Equation Modeling (SEM). …”
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Apical extrusion of debris with different rotary and reciprocating single-file endodontic instrumentation systems: a systematic review and meta-analysis protocol by Muhammad Zubair Ahmad, Durre Sadaf, Marcy McCall MacBain, Ahmed Nabil Mohamed

“…We will measure the statistical heterogeneity by applying the Cochrane Q test and quantify using the I2 statistic. Existence of covariates and any potential heterogeneity will be explored through prespecified subgroup and sensitivity analyses.Ethics and dissemination Approval from an ethical research committee is not required because it will be done using data that have been already published and have no concerns related to the privacy of patients. …”
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Exploring quality of life among elderly persons living with HIV in Accra, Ghana. by Marijanatu Abdulai, Philip Teg-Nefaah Tabong, Harriet Affran Bonful, Adolphina Addo-Lartey, Bismark Sarfo

“…The data was analysed thematically using QSR NVivo 11.…”
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Large language models to process, analyze, and synthesize biomedical texts: a scoping review by Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen

“…We conclude that, despite offering opportunities to manage the growing volume of biomedical data, LLMs also present challenges, particularly in clinical medicine and evidence synthesis, such as issues with transparency and privacy concerns.…”
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Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars by Sangen Hu, Zikang Huang, Ke Wang, Haiyuan Lin, Mingyang Pei

“…Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. …”
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Close to the Comfort Zone: Stakeholders’ Perspectives on Implementing Leisure Activities in Dementia and Eldercare by Golnaz Atefi, Hannah L. Christie, Marjolein E. de Vugt, Michael P. Craven

“…Stakeholders highlighted the importance of tailored activities, ease of use, and privacy. Challenges included resource allocation and availability. …”
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Demographic disparities, service efficiency, safety, and user satisfaction in public bus transit system: A survey-based case study in the city of Charlotte, NC by Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani, Hamed Tabkhi

“…This research examines service limitations, safety concerns, and attitudes towards technological improvements in Charlotte’s transit system, using survey data from 160 participants collected in 2022 and 2023. …”
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Exploring Digital Stress of Finnish Adolescents and Their Parents by Dimitrios Siakas, Niilo Siakas, Kerstin Siakas, Georgios Lampropoulos

“…Results: “Privacy Intrusion”, “Availability stress/Online vigilance”, and “Usefulness” were the most essential stressor factors for both students and parents. …”
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Probing the necessity and advantages of AI integration training for EFL educators in Saudi Arabia by Amal Abdelsattar Metwally, Wagdi Rashad Ali Bin-Hady

“…A mixed-methods approach was employed, collecting both quantitative and qualitative data using a questionnaire. The questionnaire was based on the five dimensions of AI competency for teachers as proposed by UNESCO (2023) to assess EFL educators’ perceptions of the necessity of AI training. …”
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AI in biomedical science: innovations, challenges, and ethical perspectives by Aynur Aliyeva

“…However, limitations include data privacy concerns, lack of population diversity in datasets, and the need for clinician oversight. …”
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Synergizing AI and blockchain: a bibliometric analysis of their potential for transforming e-governance in smart cities by Sandi Lubis, Sandi Lubis, Achmad Nurmandi, Jamaluddin Ahmad, Eko Priyo Purnomo, Titin Purwaningsih, Hazel D. Jovita-Olvez

“…Key themes identified include enhanced transparency, efficiency in public services, and concerns related to data privacy. However, our analysis uncovers a clear gap in empirical studies addressing the combined use of AI and blockchain technologies. …”
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A blockchain technology for improving financial flows in humanitarian supply chains: benefits and challenges by Saurav Negi

“…Key challenges identified include scalability issues, high cost and resource requirements, lack of network reliability, data privacy, supply chain integration, knowledge and training gaps, regulatory frameworks and ethical considerations. …”
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Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach by Dan Ben Ami, Kobi Cohen, Qing Zhao

“…Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchanging the data. …”
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Exploring knowledge and attitudes toward electronic informed consent among clinical trial participants in China: a cross-sectional study by Ying Wu, Xing Liu, Xiaoying Ge, Xin Tan, Weiwei Yu, Xiaomin Wang

“…However, they also express concerns about data protection and privacy security in eIC. These findings provide a foundation for developing targeted strategies to enhance the adoption and acceptance of eIC among diverse populations.…”
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A cross-sectional study assessing customers’ perception, satisfaction, and attitude toward e-pharmacy services in Saudi Arabia by Ahmed Khaled Bahamdan, Mona Almanasef

“…A self-administered online questionnaire was distributed via social media, and convenience sampling was used to collect data from December 2022 to January 2023. …”
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Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review by Carolina Garcia Sanchez, Anna Kharko, Maria Hägglund, Sara Riggare, Charlotte Blease

“…The results will clarify how HCPs use—or avoid using—GenAI in daily health care work. …”
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Sustainable financial infrastructure and governance: A fuzzy multi-criteria decision-making analysis of open service innovation in unstable economies by Homa Molavi, Lihong Zhang, Mohammad Khanbabaei

“…Regulatory sandboxes and innovation clusters can foster collaboration between banks, fintech companies, and regulators, enhancing trust and compliance. Strict data governance frameworks aligned with global standards are essential to balancing innovation with privacy.…”
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