AIMC Topic: Privacy

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Proactive vs. passive algorithmic ethics practices in healthcare: the moderating role of healthcare engagement type in patients' responses.

BMC medical ethics Jun 7, 2025
BACKGROUND: Artificial intelligence (AI) is transforming healthcare, but concerns about algorithmic biases and ethical challenges hinder patient acceptance. This study examined the effects of proactive versus passive algorithmic ethics practices on p...
Humans Artificial Intelligence Algorithms Trust Middle Aged Young Adult Privacy Adult Male China Delivery of Health Care Female
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Federated Machine Learning Enables Risk Management and Privacy Protection in Water Quality.

Environmental science & technology Jun 3, 2025
Real-time water quality risk management in wastewater treatment plants (WWTPs) requires extensive data, and data sharing is still just a slogan due to data privacy issues. Here we show an adaptive water system federated averaging (AWSFA) framework ba...
Privacy Water Quality Federated Learning Wastewater Machine Learning Risk Management
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Review learning: Real world validation of privacy preserving continual learning across medical institutions.

Computers in biology and medicine Jun 1, 2025
When a deep learning model is trained sequentially on different datasets, it often forgets the knowledge learned from previous data, a problem known as catastrophic forgetting. This damages the model's performance on diverse datasets, which is critic...
Electronic Health Records Deep Learning Privacy Humans Algorithms
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Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.

Bioethics Jun 1, 2025
In this article, I propose an ethical analysis of assistive domestic robots for older users. In doing so, I illustrate my inquiry with the example of ROB-IN assistive robot. ROB-IN is a Spanish project which is devoted to developing a robot that will...
Paternalism Self-Help Devices Ethical Analysis Privacy Home Care Services Activities of Daily Living Robotics Humans Ageism Aged Spain Personal Autonomy
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Self-Supervised WiFi-Based Identity Recognition in Multi-User Smart Environments.

Sensors (Basel, Switzerland) May 14, 2025
The deployment of autonomous AI agents in smart environments has accelerated the need for accurate and privacy-preserving human identification. Traditional vision-based solutions, while effective in capturing spatial and contextual information, often...
Humans Artificial Intelligence Algorithms Privacy Wireless Technology
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Context-Contingent Privacy Concerns and Exploration of the Privacy Paradox in the Age of AI, Augmented Reality, Big Data, and the Internet of Things: Systematic Review.

Journal of medical Internet research May 14, 2025
BACKGROUND: Despite extensive research into technology users' privacy concerns, a critical gap remains in understanding why individuals adopt different standards for data protection across contexts. The rise of advanced technologies such as the Inter...
Privacy Internet of Things Humans Big Data Augmented Reality Artificial Intelligence
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Federated transfer learning with differential privacy for multi-omics survival analysis.

Briefings in bioinformatics Mar 4, 2025
Multi-omics data often suffer from the "big $p$, small $n$" problem where the dimensionality of features is significantly larger than the sample size, making the integration of multi-omics data for survival analysis of a specific cancer particularly ...
Humans Genomics Machine Learning Privacy Computational Biology Neoplasms Multiomics Survival Analysis
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The INNOVATE framework to foster ethics of artificial intelligence.

Recenti progressi in medicina Mar 1, 2025
ChatGPT, the latest advancement in Artificial Intelligence (AI), represents one of the most advanced and rapidly evolving chatbot technologies to date. Its capability to provide swift and intelligent responses has garnered admiration from scientists ...
Computer Security Delivery of Health Care Social Responsibility Privacy Humans Artificial Intelligence
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Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Particularly for metastatic cancer, incorporating primary tumor location into the diagnostic process greatly improves survival rates. However, traditional...
Neoplasms Deep Learning Computational Biology Confidentiality Genomics Machine Learning Algorithms Precision Medicine Humans Neural Networks, Computer Privacy Computer Security
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Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.

Studies in health technology and informatics Aug 30, 2024
INTRODUCTION: Retrieving comprehensible rule-based knowledge from medical data by machine learning is a beneficial task, e.g., for automating the process of creating a decision support system. While this has recently been studied by means of exceptio...
Humans Machine Learning Privacy Knowledge Bases Computer Security Electronic Health Records Confidentiality
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