AIMC Topic: Privacy

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Integrating advanced neural network architectures with privacy enhanced encryption for secure and intelligent healthcare analytics.

Scientific reports Aug 19, 2025
Healthcare data protection in our mutually connected era has emerged as an issue of serious concern with private patient information, which has been exposed more often due to data violations and cyber-attacks. Network structures CNN and LSTM as part ...
Humans Confidentiality Privacy Computer Security Neural Networks, Computer Algorithms
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Scientific reports Jul 30, 2025
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi...
Privacy Image Processing, Computer-Assisted Humans Computer Security Confidentiality Neural Networks, Computer Algorithms Machine Learning Deep Learning
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Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports Jul 15, 2025
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di...
Humans Leukocytes Privacy Algorithms Deep Learning
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Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

PloS one Jul 11, 2025
This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Personalized Models and Differential Privacy (FLPMDP), for diagnosing arrhythmia from 12-lead electrocardiogram (ECG) signals. The architecture supports ...
Humans Machine Learning Algorithms Arrhythmias, Cardiac Federated Learning Electrocardiography Privacy
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Artificial Intelligence-Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study.

Journal of medical Internet research Jul 9, 2025
BACKGROUND: Facial biometric data, while valuable for clinical applications, poses substantial privacy and security risks.
Privacy Face Male Middle Aged Child, Preschool Child Adolescent Young Adult Adult Aged Artificial Intelligence Aged, 80 and over Female Humans
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Promising for patients or deeply disturbing? The ethical and legal aspects of deepfake therapy.

Journal of medical ethics Jul 7, 2025
Deepfakes are hyper-realistic but fabricated videos created with the use of artificial intelligence. In the context of psychotherapy, the first studies on using deepfake technology are emerging, with potential applications including grief counselling...
Grief Humans Sex Offenses Psychotherapy Privacy Artificial Intelligence Video Recording Ethics, Medical
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

Scientific reports Jul 2, 2025
The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, comp...
Deep Learning Image Processing, Computer-Assisted Humans Federated Learning Privacy Tomography, X-Ray Computed Neural Networks, Computer Brain Neoplasms Algorithms
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An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data.

Scientific reports Jul 1, 2025
With the rapid growth of healthcare data and the need for secure, interpretable, and decentralized machine learning systems, Federated Learning (FL) has emerged as a promising solution. However, FL models often face challenges regarding privacy prese...
Artificial Intelligence Machine Learning Algorithms Humans Delivery of Health Care Computer Security Blockchain Privacy
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Balancing privacy and health integrity: A novel framework for ECG signal analysis in immersive environments.

Computers in biology and medicine May 1, 2025
The widespread use of immersive technologies such as Virtual Reality, Mixed Reality, and Augmented Reality has led to the continuous collection and streaming of vast amounts of sensitive biometric data. Among the biometric signals collected, ECG (ele...
Privacy Humans Algorithms Signal Processing, Computer-Assisted Electrocardiography Confidentiality
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A combined approach of evolutionary game and system dynamics for user privacy protection in human intelligence interaction.

Scientific reports Apr 21, 2025
The rapid development of generative artificial intelligence (GenAI) has generated significant economic and social value, alongside risks to user privacy. For this purpose, this study investigates privacy protection in human-AI interaction by employin...
Privacy Humans Game Theory Artificial Intelligence
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