AIMC Topic: Privacy
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Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Federated Learning (FL) is emerging in the medical field to address the need for diverse datasets while complying with data protection regulations. This decentralised learning paradigm allows hospitals (clients) to train machine learning models local...
Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
This paper presents a novel approach for classifying electrocardiogram (ECG) signals in healthcare applications using federated learning and stacked convolutional neural networks (CNNs). Our innovative technique leverages the distributed nature of fe...
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Mental health conditions, prevalent across various demographics, necessitate efficient monitoring to mitigate their adverse impacts on life quality. The surge in data-driven methodologies for mental health monitoring has underscored the importance of...
Machine Learning in Health Care: Ethical Considerations Tied to Privacy, Interpretability, and Bias.
North Carolina medical journal
Jun 1, 2024
Machine learning models hold great promise with medical applications, but also give rise to a series of ethical challenges. In this survey we focus on training data, model interpretability and bias and the related issues tied to privacy, autonomy, an...
[Digital environment and population health].
Revue medicale suisse
Apr 17, 2024
Health and risk of disease are determined by exposure to the physical, socio-economic, and political environment and to this has been added exposure to the digital environment. Our increasingly digital lives have major implications for people's healt...
Health Care AI and Patient Privacy-Dinerstein v Google.
JAMA
Mar 19, 2024
Toward robust and privacy-enhanced facial recognition: A decentralized blockchain-based approach with GANs and deep learning.
Mathematical biosciences and engineering : MBE
Feb 26, 2024
In recent years, the extensive use of facial recognition technology has raised concerns about data privacy and security for various applications, such as improving security and streamlining attendance systems and smartphone access. In this study, a b...
Federated Multiple Imputation for Variables that Are Missing Not At Random in Distributed Electronic Health Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on...
Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques.
Radiology. Artificial intelligence
Jan 1, 2024
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