Digital health tools in juvenile idiopathic arthritis: a systematic literature review by Jordi Anton, María Montoro, Estíbaliz Loza, Teresa Otón, Susan Ramirez, Diego Benavent

“…Tool development and validation processes were poorly or not at all described, and data regarding regulatory compliance, security, or privacy were scarce. …”
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Federated Online Learning for adaptive load forecasting across decentralized nodes by Mohamed Ahmed T.A. Elgalhud, Mohammad Navid Fekri, Syed Mir, Katarina Grolinger

“…In recent years, Machine Learning (ML) techniques have been dominating load forecasting; however, traditional ML requires transferring data from different sensors, such as smart meters, to a central location for model training, and then the static models are used for forecasting. …”
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Current Implementation of Digital Health in Chronic Disease Management: Scoping Review by Candelyn Pong, Rachel Marjorie Wei Wen Tseng, Yih Chung Tham, Elaine Lum

“…We used established taxonomies to synthesize extracted data. …”
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Considerations of Cloud Computing Contracts at the Conclusion Stage by Mohammadali Hasanian, Esmaeil Shahsavandi, Amirabbas Bozorgmehr

“…On the other hand, studies show that data security and privacy are among the most important challenges of cloud computing contracts. …”
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Unveiling practical insights of eHealth implementation in Europe: a grey literature review on legal, ethical, financial, and technological (LEFT) considerations by B. E. Bente, N. Beerlage-de Jong, R. M. Verdaasdonk, J. E. W. C. van Gemert-Pijnen

“…Legal barriers include navigating complex regulatory frameworks, interpreting regulations, and concerns about data privacy. Facilitators focus on centralized governance and Europe's role in the global data market. …”
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Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates by Miskeen E, Alfaifi J, Alhuian DM, Alghamdi M, Alharthi MH, Alshahrani NA, Alosaimi G, Alshomrani RA, Hajlaa AM, Khair NM, Almuawi AM, Al-Jaber KH, Elrasheed FE, Elhassan K, Abbas M

“…Despite these advancements, challenges related to the ethical use of AI, data privacy, and the need for extensive validation of AI tools in diverse populations were noted.Conclusion: The potential benefits of AI in fetal medicine are immense, offering a brighter future for our field. …”
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Two-Party Quantum Private Comparison Protocol Based on Rotational Encryption by Min Hou, Yue Wu

“…The participants’ private data are encoded as single photons, which are encrypted using a rotational encryption method. …”
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Potential benefits and challenges of artificial intelligence in human resource management in public institutions by Kelvin M. Mwita, Felician Andrew Kitole

“…The findings on the perceived benefits of AI in HRM show that increased efficiency, better decision-making, and cost reduction are the top advantages, while ease of use ranks the lowest. However, challenges such as lack of expertise, data privacy concerns, high costs, and resistance to change remain significant barriers. …”
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Patient Satisfaction Regarding Quality Nursing Care by Valentina Christi, Anandi Macwan, Sangita Valand, Dolita Gohil

“…Laschingerrsquos ldquoPS with quality nursing care questionnairerdquo was used as the study tool. Patients operated on with all kinds of heart surgery as well as nine dimensions were included in the study. …”
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Feasibility and acceptability of a contextualized brief psychological intervention for people with bipolar disorder in rural Ethiopia by Mekdes Demissie, Charlotte Hanlon, Lauren C. Ng, Rosie Mayston, Abebaw Fekadu

“…We conducted a mixed-method evaluation, including in-depth qualitative interviews, fidelity ratings of a random selection of 25% of the audio recorded intervention sessions, and self-reported change in symptom severity. We used thematic analysis for qualitative data and descriptive analysis for quantitative data. …”
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Occupational therapy in the space of artificial intelligence: Ethical considerations and human-centered efforts by Vera C. Kaelin, Ingeborg Nilsson, Helena Lindgren

“…One way to support future AI technology aligned with OT ethical principles may be through human-centered AI (HCAI), an emerging branch within AI research and developments with a notable overlap of OT values and beliefs.Objective To explore the risks and challenges of AI technology, and how the combined expertise, skills, and knowledge of OT and HCAI can contribute to harnessing its potential and shaping its future, from the perspective of OT’s ethical values and beliefs.Results Opportunities for OT and HCAI collaboration related to future AI technology include ensuring a focus on 1) occupational performance and participation, while taking client-centeredness into account; 2) occupational justice and respect for diversity, and 3) transparency and respect for the privacy of occupational performance and participation data.Conclusion and Significance There is need for OTs to engage and ensure that AI is applied in a way that serves OT and OT clients in a meaningful and ethical way through the use of HCAI.…”
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AI-driven assistive technologies in inclusive education: benefits, challenges, and policy recommendations by Chokri Kooli, Rim Chakraoui

“…Additionally, the paper highlights limitations related to accuracy, infrastructure needs, educator readiness, and ethical concerns such as data privacy and algorithmic bias.To address these challenges, the study proposes policy recommendations and practical strategies for equitable and responsible AI adoption in education, including targeted educator training, funding for inclusive infrastructure, and development of ethical and technical standards. …”
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Exploring the effects of artificial intelligence on student and academic well-being in higher education: a mini-review by Blanka Klimova, Marcel Pikhart

“…Furthermore, issues such as data privacy and job displacement emerge as AI technologies permeate educational environments. …”
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Enhancing Public Service Delivery Efficiency through AI: Current Initiatives and Future Prospects in Bangladesh by Niaz Makhdum

“…Some major challenges are infrastructure deficits, data privacy breaches, lack of digital literacy, and unpreparedness of the workforce. …”
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Leveraging Agent-Based Modeling and IoT for Enhanced E-Commerce Strategies by Mohamed Shili, Sajid Anwar

“…The effectiveness of this model is validated through simulations and case studies, demonstrating its capacity to handle large data volumes, ensure security and privacy, and maintain seamless interoperability among a variety of IoT devices and e-commerce platforms. …”
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AI in Structural Health Monitoring for Infrastructure Maintenance and Safety by Vagelis Plevris, George Papazafeiropoulos

“…We examine seven core areas where AI significantly advances SHM capabilities: (1) data acquisition and sensor networks, highlighting improvements in sensor technology and data collection; (2) data processing and signal analysis, where AI techniques enhance feature extraction and noise reduction; (3) anomaly detection and damage identification using machine learning (ML) and deep learning (DL) for precise diagnostics; (4) predictive maintenance, using AI to optimize maintenance scheduling and prevent failures; (5) reliability and risk assessment, integrating diverse datasets for real-time risk analysis; (6) visual inspection and remote monitoring, showcasing the role of AI-powered drones and imaging systems; and (7) resilient and adaptive infrastructure, where AI enables systems to respond dynamically to changing conditions. …”
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Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer by Enes Erul MD, Yusuf Aktekin MD, Furkan Berk Danışman BSc, Şükrü Armanç Gümüştaş, Büşra Saraç Aktekin MD, Emre Yekedüz MD, Yüksel Ürün MD

“…The survey included three distinct sections: (1) Perceptions: Patients’ general views on AI’s impact in oncology; (2) Attitudes: Comfort level with AI performing medical tasks; (3) Concerns: Specific fears related to AI implementation (eg, diagnostic errors, data privacy, healthcare costs). Survey responses were summarized descriptively, and differences by age, gender, and education were analyzed using chi-square tests. …”
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Potential and Legal Challenges of the Metaverse for Environmental Awareness and Sustainability in Nigeria: A Comparative Analysis with Singapore by Paul Atagamen Aidonojie, Toyin Afolabi Majekodunmi, Eregbuonye Obieshi, Omolola Janet Adeyemi-Balogun

“…A total of 304 questionnaires were distributed to Nigerian respondents, and data were analyzed using descriptive and analytical methods. …”
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AI Chatbots in Education: Challenges and Opportunities by Narius Farhad Davar, M. Ali Akber Dewan, Xiaokun Zhang

“…Educators can leverage such chatbots to create course content, generate assessments, evaluate student performance, and utilize them for data analysis and research. However, this technology presents significant challenges concerning data security and privacy. …”
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Resilience in the Internet of Medical Things: A Review and Case Study by Vikas Tomer, Sachin Sharma, Mark Davis

“…Issues such as latency, bandwidth constraints, and concerns regarding security and privacy are critical in IoMT owing to the sensitive nature of patient data, including patient identity and health status. …”
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