Public awareness, attitudes, and motivation toward biobanks: a survey of China by Mingtao Huang, Lanyi Yu, Xiaonan Wang, Kun Li, Jichao Wang, Xinrui Cheng, Xiaomei Zhai

“…The respondents raised concerns about the commercialization of biobanks (56.66%) and data privacy (55.84%). Notably, only 37.01% of the respondents were concerned about the risk of discrimination in biobanks, where this was lower compared with the results for populations in Western countries. …”
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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…With the exponential growth of edge devices, efficient local processing is essential to mitigate economic costs, latency, and privacy concerns associated with the centralized cloud processing. …”
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Teledentistry-Dental students' preparedness and patients' experiences. by Swarna Math, Janice Diong Li Nga, Huey Fen Lim, Maryam Amin, Camila Pacheco-Pereira

“…Descriptive statistics were used to summarise the data.<h4>Results</h4>Out of 125 students, 88% (N = 110) were contacted by 318 patients. …”
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Ethical considerations in artificial intelligence-driven environments for higher education by Phumzile D. Mogoale, Agnieta Pretorius, Refilwe C. Mogase, Mmatshuene A. Segooa

“…The IEEE Xplore Digital Library database was used, with keywords such as ‘artificial intelligence OR AI’ AND ‘education’ AND/OR ‘ethics’. …”
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Consumer perspectives on the national electronic health record and barriers to its adoption in Germany: does health policy require a change in communication? by Saskia Kröner, Björn Schreiweis, Veronika Strotbaum, Lea Christine Brandl, Monika Pobiruchin, Martin Wiesner

“…Results The top three ePA use cases were medical document collection, simplified data exchange between medical institutions, and emergency medical information. …”
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Perceptions of precision medicine among diverse dementia caregivers and professional providers by Joseph E. Gaugler, Hayley R. McCarron, Lauren L. Mitchell

“…Concerns included cost of precision medicine and insurance coverage; lack of alignment with cultural norms; fraught relationships between communities, health professionals, and researchers; data ownership and privacy; and the trade‐off between knowing risk and treatment benefit. …”
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Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models by John Fischer, Marko Orescanin, Justin Loomis, Patrick Mcclure

“…Federated learning (FL) is an approach to training machine learning models that takes advantage of multiple distributed datasets while maintaining data privacy and reducing communication costs associated with sharing local datasets. …”
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Access to information in the context of virtual space in the legal system of Iran and United States by Hedieh sadat Mirtorabi, Mojtaba Ansarian

“…In Iran, restrictions on access to information may reduce the spread of ideas and thoughts, ban potentially useful information, and cause problems in cultural development. …”
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Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study by Qianqian Dai, Ming Li, Maoshu Yang, Shiwu Shi, Zhaoyu Wang, Jiaojiao Liao, Zhaoji Li, Weinan E, Liyuan Tao, Yi-Da Tang

“… BackgroundArtificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, physicians and nurses play a pivotal role in integrating AI into clinical workflows. …”
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Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals. by Maximilian Kapsecker, Stephan M Jonas

“…<h4>Background</h4>Federated unsupervised learning offers a promising approach to leveraging decentralized data stored on consumer devices, addressing concerns about privacy and lack of annotation. …”
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SCRHM: A Secure Continuous Remote Health Monitoring System by Qiuxiang Dong, Zhi Guan, Kunlun Gao, Zhong Chen

“…With this scheme, remote health monitoring service provider is able to detect outliers over encrypted health parameters. Using analysis, we prove the correctness and security of the proposed scheme on privacy protection of users’ health data. …”
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FLavourite: Horizontal and Vertical Federated Learning Setting Comparison by Walter Riviera, Ilaria Boscolo Galazzo, Gloria Menegaz

“…We assess the classification of Alzheimer&#x2019;s disease using non-independent and identically distributed (non-i.i.d.) 3D images and tabular data. …”
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AML-Based Multi-Dimensional Co-Evolution Approach Supported by Blockchain: Architecture Design and Case Study on Intelligent Production Lines for Industry 4.0 by Kai Ding, Detlef Gerhard, Liuqun Fan

“…As a transparent decentralized network, blockchain’s compatibility with the challenges of AML collaboration processes, data security, and privacy is not ideal. This paper proposes a new method to enhance the collaborative evolution of IPLs. …”
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Navigating the Ethical Terrain of AI-Generated Text Tools: A Review by Yasir Abdelgadir Mohamed, Abdul Hakim H. M. Mohamed, Akbar Khanan, Mohamed Bashir, Mousab A. E. Adiel, Muawia A. Elsadig

“…Our research synthesizes insights from technical advancements, ethical considerations, and real-world applications across healthcare, education, and creative sectors. We address critical privacy concerns and data protection challenges, noting struggles in AI-generated text detection and investigating AI&#x2019;s potential in enabling cyberattacks. …”
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Evaluating new technologies and organizational structures by Ofira Schwartz, Michele Hayslett

“…Co-authors Knut Wenig and Xiaoyao Han are examining the findability of data deposited in data repositories that are using DDI metadata standards. …”
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Emerging role of generative AI in renewable energy forecasting and system optimization by Erdiwansyah, Rizalman Mamat, Syafrizal, Mohd Fairusham Ghazali, Firdaus Basrawi, S.M. Rosdi

“…For sustainable implementation, future developments must address challenges in model explainability, data privacy, and scalability. These findings support the journal’s scope by highlighting AI-driven advancements for the reliable, efficient, and sustainable transformation of energy systems.…”
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Exploring Therapists’ Approaches to Treating Eating Disorders to Inform User-Centric App Design: Web-Based Interview Study by Pamela Carien Thomas, Pippa Bark, Sarah Rowe

“…Barriers to recommendation include patient safety, data privacy, and a perception that they may not be effective. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…However, several challenges remain, such as concerns over data privacy, complexities in integrating AI systems into existing workflows, and the need for large, high-quality datasets. …”
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Public Perception on Artificial Intelligence–Driven Mental Health Interventions: Survey Research by Mahima Anna Varghese, Poonam Sharma, Maitreyee Patwardhan

“…Major concerns included data privacy, security, the lack of human touch, and the potential for misdiagnosis. …”
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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

“…The proposed system follows a structured workflow: (i) channel state information (CSI) is extracted from ESP32 modules, (ii) data preprocessing is performed using Hampel and Gaussian filters for noise and outlier removal, (iii) dimensionality reduction is achieved through Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT), and (iv) activity classification is conducted using Dynamic Time Warping (DTW) and the K-Nearest Neighbors (KNN) algorithm. …”
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