Intelligent Infrastructure Facilitating Sequence Recommendation for Cybersecurity Education Systems by Eric Brown, Douglas Talbert

“…This can be a challenging goal when data integrity and student privacy are paramount. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN EDUCATION by Hayat KASSI

“…The results showed that artificial intelligence enhances interaction and facilitates self-directed learning through smart tools like virtual assistants, but it faces challenges related to data privacy and the ethics of its use, along with exacerbating the digital divide between schools. …”
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User and Provider Experiences With Health Education Chatbots: Qualitative Systematic Review by Кyung-Eun (Anna) Choi, Sebastian Fitzek

“… Abstract BackgroundChatbots, as dialog-based platforms, have the potential to transform health education and behavior-change interventions. Despite the growing use of chatbots, qualitative insights into user and provider experiences remain underexplored, particularly with respect to experiences and perceptions, adoption factors, and the role of theoretical frameworks in design. …”
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Micro, Small and Medium-sized Enterprises in the Digital Economy: Barriers to Digitalisation by Grażyna Węgrzyn

“…Implications / Recommendations: There is a need for education and support of digital competences, as well as to increase awareness among the owners of small firms as to the benefits digitalisation promises. At the same time, data and privacy must be protected in order to encourage entrepreneurs to safely implement digital solutions. …”
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THE ETHICAL AND LEGAL ASPECTS OF HEALTH POLICY ON ELECTRONIC MEDICAL RECORDS IN INDONESIA by Ta Larasati, Ahmad Irzal Fardiansyah, Dwi Saketi, Azelia Nusa Dewiarti

“…The use of electronic medical records raises concerns about potential data leaks, necessitating the establishment of security measures and identification of responsible parties in case of breaches. …”
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Integrating AI into neurosurgical decisions: a new Frontier in medicine by Kashif Munir

“…Full use of AI in neurosurgery may be restricted because of issues related to patient privacy, biased data, and ethical problems. …”
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Artificial Intelligence in Public Relations: Potential Benefits and Drawbacks by Ömer Faruk Zararsız

“…Within the realm of public relations, artificial intelligence offers numerous advantages in terms of time and cost, particularly in areas such as customer relationship management, media and social media monitoring and analysis, virtual assistants, internal communication, and crisis communication and management. However, the use of artificial intelligence also poses potential threats in areas that are crucial to the success of public relations, such as propaganda, privacy, data breaches, ethics, disinformation, and misinformation. …”
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Nurses’ perspectives on AI-Enabled wearable health technologies: opportunities and challenges in clinical practice by Haitham Alzghaibi

“…However, concerns regarding data privacy, accuracy, cost, and reduced human interaction persist. …”
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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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Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education by Maria Ijaz Baig, Elaheh Yadegaridehkordi

“…Therefore, this study aims to identify factors influencing academic staff satisfaction and continuous GenAI usage in higher education, employing a survey method and analyzing data using Partial Least Squares Structural Equation Modeling (PLS-SEM). …”
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Feasibility and Acceptability of a Digital Health Portal to Improve HIV Care Engagement Among Kenyan Youth: Mixed Methods Study by Eric Nturibi, Jared Mecha, Florence Kaara, Faith Musau, Christine Mwangi, Elizabeth Kubo, Albert Orwa

“…Participants interacted with a prototype PHP through guided demonstrations and completed structured questionnaires assessing health literacy, digital readiness, feature preferences, emotional needs, and data security perceptions. Quantitative data were analyzed using descriptive and bivariate statistics. …”
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Application of federated learning in predicting breast cancer by Chai Jiarui

“…Federated learning provides a framework to protect data privacy, allowing multiple institutions to share model training without sharing the original data. …”
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Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review by Abel García Abejas, David Geraldes Santos, Fabio Leite Costa, Aida Cordero Botejara, Helder Mota-Filipe, Àngels Salvador Vergés

“… BackgroundArtificial intelligence (AI) is increasingly integrated into palliative medicine, offering opportunities to improve quality, efficiency, and patient-centeredness in end-of-life care. However, its use raises complex ethical issues, including privacy, equity, dehumanization, and decision-making dilemmas. …”
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Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions by Pejman Peykani, Fatemeh Ramezanlou, Cristina Tanasescu, Sanly Ghanidel

“…Among the challenges discussed are model interpretability, biases in data and model outcomes, ethical concerns regarding privacy and data security, and their high computational requirements. …”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…However, challenges such as algorithmic bias, data privacy issues, and the need for strong ethical guidelines still exist, and these could hinder the equitable use of AI. …”
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Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study by Stephanie A Kraft, Shaan Chopra, Miriana C Duran, Janet A Rojina, Abril Beretta, Katherine I López, Russell Javan, Benjamin S Wilfond, Margaret Rosenfeld, James Fogarty, Linda K Ko

“…We identified the following seven themes: (1) mHealth is seen as beneficial for promoting health and peace of mind; (2) some are unaware of, unfamiliar with, or uncomfortable with technology and may benefit from individualized support; (3) financial barriers limit access to mHealth; (4) practical considerations create barriers to using mHealth in daily life; (5) mHealth raises concern for overreliance on technology; (6) automated mHealth features are perceived as valuable but fallible, requiring human input to ensure accuracy; and (7) data sharing is seen as valuable for limited uses but raises privacy concerns. …”
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Integrating AI in medical education: a comprehensive study of medical students’ attitudes, concerns, and behavioral intentions by Shuo Duan, Chunyu Liu, Tianhua Rong, Yixin Zhao, Baoge Liu

“…Female students expressed greater concerns regarding privacy, data security, and potential ethical issues related to AI in medical education than male students (p < 0.05). …”
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FedRecSys: A Federated Learning-Based Recommender System for Concept Drift Adaptation by Anagha Chaudhari, A. A. Hitham Seddig, Roshani Raut, Aliza Sarlan

“…A new field called deep learning can be used to handle large amounts of multidimensional data in different e-commerce platforms. …”
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Conceptualizing smart citizen as smart voter and its relationships with smart election process by Muhammad Younus, Dyah Mutiarin, Halimah Abdul Manaf, Achmad Nurmandi, Andi Luhur Prianto

“…However, it also raises ethical concerns, such as data privacy, digital inequality, and risks of misinformation, which need careful management to sustain public trust. …”
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Implementing Electronic Health Records in Philippine Primary Care Settings: Mixed-Methods Pilot Study by Anton Elepaño, Carol Stephanie Tan-Lim, Mark Anthony Javelosa, Regine Ynez De Mesa, Mia Rey, Josephine Sanchez, Leonila Dans, Antonio Miguel Dans

“…The primary outcome was behavioral intention to use the system. Quantitative data were supplemented by inductive content analysis of qualitative responses to explain observed trends. …”
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