AIMC Topic: Privacy

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Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.

Sensors (Basel, Switzerland) Nov 8, 2023
Machine learning, powered by cloud servers, has found application in medical diagnosis, enhancing the capabilities of smart healthcare services. Research literature demonstrates that the support vector machine (SVM) consistently demonstrates remarkab...
Computer Security Confidentiality Privacy Humans Machine Learning Support Vector Machine
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Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging.

IEEE journal of biomedical and health informatics Nov 7, 2023
Automatic sleep staging has been an active field of development. Despite multiple efforts, the area remains a focus of research interest. Indeed, while promising results have reported in past literature, uptake of automatic sleep scoring in the clini...
Humans Privacy Algorithms Sleep Deep Learning Sleep Stages
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Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.

AJOB empirical bioethics Oct 27, 2023
Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system's ability to care for people with chronic and degenerative conditions, including Parkinson's Disease (PD). This paper r...
Privacy Caregivers Parkinson Disease Confidentiality Female Male Aged Middle Aged Artificial Intelligence Disease Progression Health Personnel Humans Qualitative Research
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Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems.

Neural networks : the official journal of the International Neural Network Society Oct 7, 2023
Federated Learning (FL) is a privacy-preserving distributed machine learning approach geared towards applications in edge devices. However, the problem of designing custom neural architectures in federated environments is not tackled from the perspec...
Machine Learning Plant Extracts Privacy
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ChatGPT in medical research: challenging time ahead.

The Medico-legal journal Oct 6, 2023
Since its launch, ChatGPT, an artificial intelligence-powered language model tool, has generated significant attention in research writing. The use of ChatGPT in medical research can be a double-edged sword. ChatGPT can expedite the research writing ...
Humans Upper Extremity Biomedical Research Artificial Intelligence Privacy Reproducibility of Results
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Advocating for neurodata privacy and neurotechnology regulation.

Nature protocols Sep 11, 2023
The ability to record and alter brain activity by using implantable and nonimplantable neural devices, while poised to have significant scientific and clinical benefits, also raises complex ethical concerns. In this Perspective, we raise awareness of...
Humans Artificial Intelligence Algorithms Privacy Hippocratic Oath
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An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning.

IEEE journal of biomedical and health informatics Sep 6, 2023
Electrocardiography (ECG) is a standard diagnostic tool for evaluating the overall heart's electrical activity and is vital for detecting many cardiovascular diseases. Classifying ECG recordings using deep neural networks has been investigated in lit...
Electrocardiography Neural Networks, Computer Supervised Machine Learning Privacy Cardiovascular Diseases Humans
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Artificial intelligence in forensic medicine and forensic dentistry.

The Journal of forensic odonto-stomatology Aug 27, 2023
This review article aims to highlight the current possibilities for applying Artificial Intelligence in modern forensic medicine and forensic dentistry and present the advantages and disadvantages of its use. For this purpose, the relevant academic l...
Humans PubMed Privacy Artificial Intelligence Forensic Medicine Forensic Dentistry
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Predicting Sociodemographic Attributes from Mobile Usage Patterns: Applications and Privacy Implications.

Big data Aug 14, 2023
When users interact with their mobile devices, they leave behind unique digital footprints that can be viewed as predictive proxies that reveal an array of users' characteristics, including their demographics. Predicting users' demographics based on ...
Humans Sociodemographic Factors Adult Demography Female Male Machine Learning Middle Aged Young Adult Privacy
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Balancing Biases and Preserving Privacy on Balanced Faces in the Wild.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 8, 2023
There are demographic biases present in current facial recognition (FR) models. To measure these biases across different ethnic and gender subgroups, we introduce our Balanced Faces in the Wild (BFW) dataset. This dataset allows for the characterizat...
Bias Privacy Neural Networks, Computer Software
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