Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks by Wilson Lukmanjaya, Tony Butler, Sarah Cox, Oscar Perez-Concha, Leah Bromfield, George Karystianis

“…However, when applying such methods, it is useful to have a framework on which to base approaches to the data. …”
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Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System by Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang

“…This architecture effectively eliminates the need for sensitive data sharing. We validate the framework using real-world datasets from Shenzhen Metro, and our key innovations include a privacy-preserving mechanism through federated parameter aggregation, joint spatial-temporal feature learning without the need for raw data transmission, and enhanced generalization across heterogeneous stations.…”
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Investigation of the Blockchain Structure for Hydroxyapatite-Based Scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Panda A.

“…In the era of the Internet, data is collected constantly. Today we need applications that ensure the privacy of users’ data. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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Impact of Mask-Wearing on Public Attitudes, Perceptions, and Interest in Rhinoplasty During the COVID-19 Pandemic by Mohanad M. Alsuhaim, MD, MBBS, Abdullah A. Fallatah, MD, MBBS, Mohammed H. Shawosh, MD, MBBS, Adil N. Althobaity, MBBS, SB-PLAST, EBOPRAS

“…This study aimed to investigate the influence of mask use on attitudes, perceptions, and interests in rhinoplasty during the COVID-19 pandemic in Saudi Arabia. …”
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Parameter optimization of 3D convolutional neural network for dry-EEG motor imagery brain-machine interface by Nobuaki Kobayashi, Musashi Ino

“…By completing the system on the edge, the privacy of personal MI data can be ensured, and the system is ubiquitous, which improves user convenience. …”
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Geodesign in the era of artificial intelligence by Xinyue Ye, Tianchen Huang, Yang Song, Xin Li, Galen Newman, Zhongjie Lin, Dayong Jason Wu

“…AI enhances existing Geodesign methods by automating spatial data analysis, improving land use classification, refining heat island effect assessment, optimizing energy use, facilitating green infrastructure planning, and generating design scenarios. …”
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The role of artificial intelligence in managing hospitalized patients with mental illness: a scoping review by Md Samiun, Moustaq Karim Khan Rony, Sumaiya Yeasmin, Mia Md Tofayel Gonee Manik, Anupom Debnath, Mustakim Bin Aziz, Afia Fairooz Tasnim, Sadia Islam Nilima

“…However, successful integration requires addressing ethical and practical challenges, promoting data diversity, safeguarding privacy, and ensuring clinician engagement. …”
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AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis by Esther Ugo Alum

“…Existing gaps include data quality, algorithmic transparency, and ethical concerns around privacy, among others. …”
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Blockchain and Its Application in the Peer Review of Scientific Works: A Systematic Review by Cristian Hugo Morales-Alarcón, Elba Bodero-Poveda, Henry Mauricio Villa-Yánez, Pamela Alexandra Buñay-Guisñan

“…However, studies addressing this topic focus on its potential to improve transparency and trust in the process, offer incentives and rewards to reviewers and authors, enhance the quality and fairness of evaluations, and strengthen the security and privacy of the data involved.…”
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Lightweight technology stacks for assistive linked annotations by Nishad Thalhath

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Implementation of the Elliptic Curve Cryptography Method in Digital Image Security in Medical Images by Yanuar Bhakti Wira Tama, syamsul mujahidin

“… Digital security become increasingly important particularly in medical field as impact of patient privacy and the protection of patient data. This attempt for this research will be made to use elliptic curve cryptography to hide messages in the form of digital images using multiplication matrix modified hill chipper and count entropy and time encryption and decryption. …”
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Unlocking the metaverse: Determinants of voluntary adoption in e-commerce by Radka Bauerová, Michal Halaška

“…Using a questionnaire, the study collected primary data from 508 respondents after meticulous data cleaning. …”
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Comparing remote and in-person interpretation experiences for clinicians and Spanish-speaking patients with limited English proficiency: a mixed methods study by Hector P Rodriguez, Timothy T Brown, Jacob Chen, Xiaoyu Cai, Alondra Ruiz, Paola Hernandez Fernandez

“…In regression analyses of patient experience survey data, no evidence of an association between the interpreter method used and patient-reported experiences of clinician communication or interpreter support was found. …”
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A scoping review of digital health technologies in multimorbidity management: mechanisms, outcomes, challenges, and strategies by Aklilu Endalamaw, Anteneh Zewdie, Eskinder Wolka, Yibeltal Assefa

“…PubMed, Scopus, Web of Science, EMBASE, and Google Scholar were used to search articles. Data extraction focused on study characteristics, types of health technologies, mechanisms, outcomes, challenges, and facilitators. …”
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A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L₂CNN-BCDet) by Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

“…The proposed DL architecture employs attention mechanisms, convolutional layers, and LSTMs to extract and analyze features and uses techniques to prevent overfitting and manage imbalanced data. …”
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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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Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions by Vishwa Amitkumar Patel, Pronaya Bhattacharya, Sudeep Tanwar, Rajesh Gupta, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma

“…The open nature of communication channels puts data privacy at high risk and affects the model training of collected data at centralized servers. …”
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AI-Augmented Netnography: Ethical and Methodological Frameworks for Responsible Digital Research by Chee Wei Cheah

“…Although AI provides improved data processing abilities, it also introduces ethical and methodological concerns about privacy, transparency, authenticity, and possible bias. …”
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Role of Artificial Intelligence in Dentistry by V. Hysenaj-Cakolli, B. Kolgeci, V. Hysenaj-Hoxha, D. Kolgeci

“…Dental professionals require specialized training, many regions lack access to advanced AI technology, and patient data privacy raises ethical concerns. While AI holds great potential, it should complement human expertise rather than replace it. …”
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