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1641
Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review
Published 2025-05-01“…Robust policies are needed to ensure equity, privacy, and humanization. Future research should address data diversity, social determinants, and culturally sensitive approaches.…”
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1642
The promise and challenges of Artificial Intelligence-Large Language Models (AI-LLMs) in obstetric and gynecology
Published 2024-07-01“…The article also discusses the ethical issues linked to AI, emphasizing the need for cooperation among different stakeholders to use AI responsibly in medicine, focusing on protecting data privacy and minimizing reliance on technology. …”
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1643
A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT
Published 2025-01-01“…By deploying AI models on edge devices and using FL, data privacy is maintained while enabling collaboration across industrial assets. …”
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1644
Perspectives of older adults on the ethics of active assisted living technologies: A Scoping review and conceptual framework
Published 2025-07-01“…Results Five relevant articles utilized qualitative methods ( n = 3) and mixed methods ( n = 2). Privacy and data protection were highlighted, with users expressing concerns about data tracking ( n = 4). …”
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1645
Efficiently Hiding Sensitive Itemsets with Transaction Deletion Based on Genetic Algorithms
Published 2014-01-01“…Data mining is used to mine meaningful and useful information or knowledge from a very large database. …”
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1646
Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing
Published 2022-01-01“…This paper proposes a method to calculate traffic flow parameters, preprocess the traffic flow data, delete irrelevant features, use flow theory to delete wrong data, and change the data in time according to actual needs, carrying out refined discrimination and analysis of urban traffic status. …”
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1647
Progress in the integration of ChatGPT in Higher Education: an examination of applications, advantages, and challenges
Published 2025-02-01“…Nonetheless, the deployment of ChatGPT has obstacles, including maintaining objectivity in automated assessments and safeguarding student data privacy. Addressing these difficulties necessitates stringent validation of model performance and the establishment of explicit data privacy regulations. …”
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1648
Revolutionizing healthcare in Somalia: the role of digital innovations in enhancing access and quality
Published 2024-11-01“…The development of an electronic immunization registry demonstrated the role of digital health records in streamlining health services and improving data accuracy. Despite the potential benefits, challenges persist, including limited and unreliable Internet access (27.6% penetration rate), and the need to ensure data privacy and security. …”
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1649
Federated learning with enhanced cryptographic security for vehicular cyber-physical systems
Published 2025-08-01“…Federated learning guarantees the privacy of raw data by enabling decentralised model training within individual vehicles or RSUs. …”
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1650
A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning
Published 2024-01-01“…Momentum updates are used for model parameter updates during training, which enhance model performance and ensure data privacy between banks. …”
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1651
Federated learning applications in soil spectroscopy
Published 2025-04-01“…Convolutional neural networks were used to estimate key soil attributes such as soil organic carbon, texture, pH, cation exchange, and total nitrogen using VNIR or MIR spectral data from the Kellogg Soil Survey Laboratory. …”
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1652
An Examination of Records Retention and Disposition Policy at Kabale University.
Published 2024“…The study sampled a total of 15 which was collected and used in the analysis. Data was collected through questionnaires and interviews. …”
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1653
Incentivization and Aggregation Schemes for Federated Learning Applications
Published 2023-01-01“…This approach puts the privacy of the participants at risk. In this paper, federated learning (FL) is proposed for privacy-preserving collaborative model training on data distributed across IoT users. …”
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1654
Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification
Published 2025-01-01“…The proposed algorithm is tested using a data set of images of hand-written letters. …”
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1655
THE ETHICAL AND LEGAL ASPECTS OF HEALTH POLICY ON ELECTRONIC MEDICAL RECORDS IN INDONESIA
Published 2024-10-01“…The use of electronic medical records raises concerns about potential data leaks, necessitating the establishment of security measures and identification of responsible parties in case of breaches. …”
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1656
Integrating AI into neurosurgical decisions: a new Frontier in medicine
Published 2025-04-01“…Full use of AI in neurosurgery may be restricted because of issues related to patient privacy, biased data, and ethical problems. …”
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1657
Artificial intelligence machine learning-driven outpatient appointment management: A qualitative study on acceptability
Published 2025-06-01“…Despite high trust in data security, privacy concerns, inefficiencies, and limited interactivity hinder adoption. …”
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1658
Federated learning for sustainable IoT appliance load monitoring at the edge devices
Published 2025-07-01“…Using our federated learning-based load monitoring model, we can minimize energy consumption while maintaining high learning performance and preserving user privacy. …”
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1659
Retracted: Effects of Variable Electrical Conductivity Levels in Hydroponic Nutrient Solutions on Morphological and Physiochemical Characteristics of Cucumber Plants in Advanced Gr...
Published 2024-03-01“… This article has been retracted due to following reasons: Misconduct: Academic misconduct due to serious conflicts and data privacy concerns related to the project. Conflict of interest: A key professor associated with the project has denied the use of data from his project in this publication. …”
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1660
Artificial intelligence in healthcare: A focus on the best practices
Published 2024-01-01“…However, alongside this potential, challenges and ethical considerations remain. Data privacy, algorithmic bias, transparency of AI decision-making, and responsible use are crucial areas that require careful attention. …”
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