AIMC Topic: Privacy

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Retinal imaging in an era of open science and privacy protection.

Experimental eye research Mar 14, 2025
Artificial intelligence (AI) holds great promise for analyzing complex data to advance patient care and disease research. For example, AI interpretation of retinal imaging may enable the development of noninvasive retinal biomarkers of systemic disea...
Confidentiality Retina Privacy Artificial Intelligence Humans United States
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A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences.

Scientific reports Mar 1, 2025
The traditional molecular-based identification (TMID) technique of new infections from genome sequences (GSs) has made significant contributions so far. However, due to the sensitive nature of the medical data, the TMID technique of transferring the ...
Deep Learning Privacy Federated Learning Humans Algorithms
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos.

PloS one Feb 11, 2025
Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look similar to the normal glial cells. The most essential part of the nervous system is glial cells, which support the brain's functioning prominently. However,...
Privacy Federated Learning Glioma Magnetic Resonance Imaging Humans Brain Neoplasms Deep Learning
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Is more data always better? On alternative policies to mitigate bias in Artificial Intelligence health systems.

Bioethics Feb 9, 2025
The development and implementation of Artificial Intelligence (AI) health systems represent a great power that comes with great responsibility. Their capacity to improve and transform healthcare involves inevitable risks. A major risk in this regard ...
Europe Bias Privacy Confidentiality Artificial Intelligence Humans Delivery of Health Care Health Policy
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Federated Learning for IoMT-Enhanced Human Activity Recognition with Hybrid LSTM-GRU Networks.

Sensors (Basel, Switzerland) Feb 3, 2025
The proliferation of wearable sensors and mobile devices has fueled advancements in human activity recognition (HAR), with growing importance placed on both accuracy and privacy preservation. In this paper, the author proposes a federated learning fr...
Humans Neural Networks, Computer Machine Learning Privacy Internet of Things Human Activities Algorithms Wearable Electronic Devices Federated Learning
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The 'Sandwich' meta-framework for architecture agnostic deep privacy-preserving transfer learning for non-invasive brainwave decoding.

Journal of neural engineering Jan 23, 2025
. Machine learning has enhanced the performance of decoding signals indicating human behaviour. Electroencephalography (EEG) brainwave decoding, as an exemplar indicating neural activity and human thoughts non-invasively, has been helpful in neural a...
Brain-Computer Interfaces Brain Waves Machine Learning Brain Electroencephalography Privacy Humans Deep Learning Neural Networks, Computer
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Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach.

Computer methods and programs in biomedicine Jan 21, 2025
BACKGROUND AND OBJECTIVE: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive us...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Diagnostic Imaging Deep Learning Computer Security Humans Cloud Computing Confidentiality Privacy
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High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare.

BMC medical ethics Jan 15, 2025
BACKGROUND: Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals' lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ...
Liability, Legal Privacy Artificial Intelligence Health Personnel Personal Autonomy Humans Confidentiality Delivery of Health Care
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Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

Scientific reports Dec 30, 2024
The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resou...
Community Participation Privacy Sustainable Development Neural Networks, Computer Cities Humans Computer Security Urban Renewal
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Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation.

Computer methods and programs in biomedicine Dec 28, 2024
BACKGROUND: Data sharing in healthcare is vital for advancing research and personalized medicine. However, the process is hindered by privacy, ethical, and legal challenges associated with patient data. Synthetic data generation emerges as a promisin...
Confidentiality Privacy Computer Security Delivery of Health Care Information Dissemination Humans Deep Learning Algorithms
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