AIMC Topic: Confidentiality

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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation.

Scientific reports Jul 2, 2025
Medical image encryption is important for maintaining the confidentiality of sensitive medical data and protecting patient privacy. Contemporary healthcare systems store significant patient data in text and graphic form. This research proposes a New ...
Humans Algorithms Diagnostic Imaging Confidentiality Computer Security Deep Learning Image Processing, Computer-Assisted
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Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

JMIR human factors Jun 24, 2025
BACKGROUND: Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental health sector in Ireland deals with ...
Computer Security Ireland Surveys and Questionnaires Data Management Mental Health Services Psychiatry Confidentiality Electronic Health Records Humans
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Secure healthcare data sharing and attack detection framework using radial basis neural network.

Scientific reports May 2, 2025
Secure medical data sharing and access control play a prominent role. However, it is still unclear how to provide a security architecture that can guarantee the privacy and safety of sensitive medical data. Existing methods are application-specific a...
Computer Security Confidentiality Information Dissemination Humans Neural Networks, Computer Algorithms Electronic Health Records
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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...
Humans Signal Processing, Computer-Assisted Confidentiality Algorithms Electrocardiography Privacy
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Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.

Scientific reports Apr 16, 2025
In the digital age, privacy preservation is of paramount importance while processing health-related sensitive information. This paper explores the integration of Federated Learning (FL) and Differential Privacy (DP) for breast cancer detection, lever...
Humans Machine Learning Information Dissemination Computer Security Federated Learning Confidentiality Female Privacy Breast Neoplasms
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Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings.

Scientific reports Apr 11, 2025
Ensuring data privacy in medical image classification is a critical challenge in healthcare, especially with the increasing reliance on AI-driven diagnostics. In fact, over 30% of healthcare organizations globally have experienced a data breach in th...
Data Mining Federated Learning Confidentiality Privacy Humans Magnetic Resonance Imaging
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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm.

PloS one Mar 27, 2025
The current approach to data access control predominantly utilizes blockchain technology. However, when dealing with high-dimensional medical data, the inherent transparency of blockchain conflicts with the necessity of protecting patient privacy. Co...
Computer Security Fuzzy Logic Blockchain Humans Confidentiality Algorithms
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Ethical aspects of artificial intelligence: what urologists need to know.

Current opinion in urology Mar 20, 2025
PURPOSE OF REVIEW: The integration of artificial intelligence in urology presents both transformative opportunities and ethical dilemmas. As artificial intelligence driven tools become more prevalent in diagnostics, robotic-assisted surgeries, and pa...
Urologists Confidentiality Urology Humans Artificial Intelligence
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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...
Retina Privacy United States Confidentiality Humans Artificial Intelligence
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Patient consent for the secondary use of health data in artificial intelligence (AI) models: A scoping review.

International journal of medical informatics Mar 8, 2025
BACKGROUND: The secondary use of health data for training Artificial Intelligence (AI) models holds immense potential for advancing medical research and healthcare delivery. However, ensuring patient consent for such utilization is paramount to uphol...
Humans Informed Consent Computer Security Artificial Intelligence Confidentiality
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