Balancing risks and benefits: clinicians’ perspectives on the use of generative AI chatbots in mental healthcare by Lyndsey Hipgrave, Jessie Goldie, Simon Dennis, Simon Dennis, Amanda Coleman

“…However, they also identified risks, including the lack of regulation, data and privacy concerns, chatbots' limited understanding of client backgrounds, potential for client over-reliance on chatbots, incorrect treatment recommendations, and the inability to detect subtle communication cues, such as tone and eye contact. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…We observed seven key domains (in order of salience) in stakeholders’ informational needs: (1) clinical utility and value; (2) evidence, explainability, evaluation and contestation; (3) accuracy and trustworthiness; (4) data security, privacy, and misuse; (5) patient consent, control, and autonomy; (6) physician-patient relationship; and (7) patient safety, well-being, and dignity. …”
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Bringing it All Together: Data from Everywhere to Build Dashboards by David Schuster

“…Using Power BI, Power Automate and a Microsoft gateway, we can see the power of easy access to data without knowing all of the disparate systems. …”
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Revolutionizing Data Exchange Through Intelligent Automation: Insights and Trends by Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

“…Furthermore, it underscores the urgent need for robust ethical frameworks to guide the responsible use of AI and to protect data privacy. In addressing these challenges, the paper calls for innovative research aimed at overcoming current limitations in scalability and security. …”
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SoK: The Impact of Educational Data Mining on Organisational Administration by Hamad Almaghrabi, Ben Soh, Alice Li, Idrees Alsolbi

“…It outlines key data mining techniques used in tasks like resource allocation, staff evaluation, and institutional planning. …”
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Fingerprint-Based Deduplication for Renewable Energy Data On-Site Analyzing by Zeng Zeng, Liyuan Gao, Hongyue Ma, Wenjing Li

“…By studying fine-grained data fingerprinting and neural network-based renewable energy data edge-analysis technologies, we have enabled edge processing of data, reducing latency and privacy issues, and enhancing the system’s real-time processing capabilities and responsiveness.…”
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Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review by Menna Mamdouh Orabi, Osama Emam, Hanan Fahmy

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Synthetic data in medicine: Legal and ethical considerations for patient profiling by Maja Nisevic, Dusko Milojevic, Daniela Spajic

“…Synthetic data is increasingly used in healthcare to facilitate privacy-preserving research, algorithm training, and patient profiling. …”
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BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge by Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli, Pietro Pinoli

“…The advancement of computational genomics has significantly enhanced the use of data-driven solutions in disease prediction and precision medicine. …”
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Smart Grids Data Aggregation Method on Paillier Homomorphic Encryption by Shaodong Zhao

“…In this paper, the Paillier HE algorithm was used to study the power grid data, and the encrypted data was numerically calculated under different encryption states. …”
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Synthetic data distillation enables the extraction of clinical information at scale by Elizabeth Geena Woo, Michael C. Burkhart, Emily Alsentzer, Brett K. Beaulieu-Jones

“…Abstract Large-language models (LLMs) show promise for clinical note information extraction, but deployment challenges include high computational costs and privacy concerns. We used synthetic data distillation to fine-tune smaller, open-source LLMs to achieve performance comparable to larger models while enabling local hardware deployment or reduced cloud costs. …”
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Legal paternalism’s influence on the balancing data protection and fundamental rights by I. Patricheev

“…Soft paternalism, on the other hand, can be seen in EU lawmakers’ attempts to nudge data subjects into using their data carefully and reasonably in digital environments without heavily restricting their data autonomy. …”
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Dynamic Pattern Matching on Encrypted Data With Forward and Backward Security by Xiaolu Chu, Ke Cheng, Anxiao Song, Jiaxuan Fu

“…Pattern matching is widely used in applications such as genomic data query analysis, network intrusion detection, and deep packet inspection (DPI). …”
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Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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Literature data-based de novo candidates for drug repurposing by Xianglong Liang, Xin Jiang, Yifang Ma

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Recognition of Human Activities Based on Ambient Audio and Vibration Data by Marcel Koch, Thomas Pfitzinger, Fabian Schlenke, Fabian Kohlmorgen, Roland Groll, Hendrik Wohrle

“…The data obtained by the AMSNs is classified using two distinct neural networks. …”
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Data Overlay Mesh in Distributed Clouds Allowing Collaborative Applications by Milos Simic, Jovana Dedeic, Milan Stojkov, Ivan Prokic

“…By extending the existing virtual clouds model, we introduce a new dataspaces layer and protocols for data discovery using the concept of hierarchical namespaces and transforming non-shareable resources, such as files and folders, into collaborative resources. …”
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AI, machine learning and deep learning in cyber risk management by Ishrag Hamid, M. M. Hafizur Rahman

“…However, challenges persist in ensuring the accuracy of information, understanding the functionality of models, and protecting individuals’ data. Ethical use of personal information and safeguarding privacy remain critical, with researchers needing to prioritize accuracy, transparency in AI models, and fairness in decision-making. …”
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From data to nutrition: the impact of computing infrastructure and artificial intelligence by Pierpaolo Di Bitonto, Michele Magarelli, Pierfrancesco Novielli, Donato Romano, Domenico Diacono, Lorenzo de Trizio, Angelo Mariano, Claudia Zoani, Riccardo Ferrero, Alessandra Manzin, Maria De Angelis, Roberto Bellotti, Sabina Tangaro

“…However, challenges such as data privacy, model interoperability, and ethical considerations remain key obstacles. …”
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Comparative effectiveness of maintenance doses of opioid agonist treatment among individuals with opioid use disorder: a target trial emulation protocol using a population-based ob... by M Eugenia Socías, Fahmida Homayra, Bohdan Nosyk, Jeong Eun Min, Julie Bruneau, Nikki Bozinoff, Shaun Seaman, P Todd Korthuis, Paxton Bach, Ehsan Karim, Michelle Zanette, Mary Clare Kennedy

“…All data are deidentified, securely stored and accessed in accordance with provincial privacy regulations. …”
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