Extending capabilities of artificial intelligence for decision-making and healthcare education by Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan, Raju Vaishya, Abhishek Vaish

“…Medical profession requires extensive knowledge and accuracy from the existing data for improved decision-making. Artificial intelligence (AI) is an appropriate technology used to improve the knowledge, skill, quality of treatment, capability, confidence, and effective decision-making process. …”
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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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The Impact of Travel Behavior Factors on the Acceptance of Carsharing and Autonomous Vehicles: A Machine Learning Analysis by Jamil Hamadneh, Noura Hamdan

“…A stated preference (SP) survey is conducted to collect data on travel behavior, incorporating key attributes such as trip time, trip cost, waiting and walking time, privacy, cybersecurity, and surveillance concerns. …”
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Security Evaluation of Provably Secure ECC-Based Anonymous Authentication and Key Agreement Scheme for IoT by Kisung Park, Myeonghyun Kim, Youngho Park

“…Thus, robust, efficient authentication and key agreement (AKA) protocols are essential to protect data privacy during exchanges between end devices and servers. …”
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Perceptions and Attitudes of Chinese Oncologists Toward Endorsing AI-Driven Chatbots for Health Information Seeking Among Patients with Cancer: Phenomenological Qualitative Study by Lijuan Zeng, Qiaoqi Li, Yan Zuo, Ying Zhang, Zhaojun Li

“…Data were analyzed using the Colaizzi method. …”
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A Comprehensive Survey on Split-Fed Learning: Methods, Innovations, and Future Directions by Geetabai S. Hukkeri, R. H. Goudar, G. M. Dhananjaya, Vijayalaxmi N. Rathod, Shilpa Ankalaki

“…With organizations needing more and more to take advantage of decentralized data sources without compromising on security, the potential of using SFL becomes more apparent. …”
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Generative Artificial Intelligence Tools in Medical Research (GAMER): Protocol for a Scoping Review and Development of Reporting Guidelines by Xufei Luo, Yih Chung Tham, Mohammad Daher, Zhaoxiang Bian, Yaolong Chen, Janne Estill

“…However, the increasing use of GenAI tools in medical research presents challenges, including ethical concerns, data privacy issues, and the potential for generating false content. …”
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The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies by Tymoteusz Miller, Grzegorz Mikiciuk, Irmina Durlik, Małgorzata Mikiciuk, Adrianna Łobodzińska, Marek Śnieg

“…However, this review also identifies critical challenges, including high infrastructure costs, limited interoperability, connectivity constraints in rural areas, and ethical concerns regarding transparency and data privacy. To address these barriers, recent innovations have emphasized the potential of Edge AI for local inference, blockchain systems for decentralized data governance, and autonomous platforms for field-level automation. …”
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Porter Diamond Model and Internationalization of Fintechs by Nahidah Naser

“…However, due to the lack of transparency data gathering, supervisions and regulations of Fintechs, policies, privacy, cybercrimes, the impact of Fintechs on the financial market and economic stability are yet to be thoroughly examined and evaluated. …”
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A blockchain-based lightweight authentication and key agreement scheme for internet of vehicles by Jing Zheng, Xiaoliang Wang, Qing Yang, Wenhui Xiao, Yapeng Sun, Wei Liang

“…The Internet of Vehicles is deployed in an open environment, and protecting its security and data privacy is the challenge. Carrying out the Internet of Vehicles secure authentication before interaction of information is an important part of ensuring the security foundation. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…The proposed indoor scene analysis algorithm using color images as privileged information significantly improves the accuracy of indoor scene analysis and reduces reliance on manually annotated data. …”
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SMART-FL: Single-Shot Merged Adaptive Resource-Aware Tensor-Fusion for Efficient Federated Learning in Heterogeneous Cross-Silo Environments by Vineetha Pais, Santhosha Rao, Balachandra Muniyal

“…This makes it especially appropriate for practical uses in privacy-sensitive fields like healthcare, where handling diverse data distributions and heterogeneous computational resources is essential.…”
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Strengthening ethical oversight in genomics and biobanking: a retrospective analysis of research practices in Zimbabwe by Oppah Kuguyo, Alice Matimba, Florence Mutevedzi, Andrew Chimatira, Vasco Chikwasha, Abigail Kangwende, Lovemore Gwanzura, Paul Ndebele

“…Consent practices varied: 99(49.5%) protocols utilized specific consent, 37(18.5%) employed broad consent, and 37(18.5%) used blanket consent. Notably, 2(1%) protocols did not use consent forms, opting instead for broad or specific notifications. …”
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Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

“…IoT devices are adopted for sensing and data acquisition, adaptive learning for decision-making, and optimization of energy use among the agents in the system through metaheuristic algorithms. …”
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Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance–Community Engagement Alliance Sur... by Leslie S Craig, Christina L Evans, Brittany D Taylor, Jace Patterson, Kaleb Whitfield, Mekhi Hill, Michelle Nwagwu, Mohamed Mubasher, Robert A Bednarczyk, Gail G McCray, Cheryl L R Gaddis, Natasha Taylor, Emily Thompson, Ursula Douglas, Saundra K Latimer, Sedessie G Spivey, Tabia Henry Akintobi, Rakale Collins Quarells

“… Abstract BackgroundConvenience, privacy, and cost-effectiveness associated with web-based data collection have facilitated the recent expansion of web-based survey research. …”
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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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