AIMC Topic: Privacy

Clear Filters Showing 101 to 110 of 281 articles

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction.

Sensors (Basel, Switzerland) Mar 8, 2023
In this paper, we propose an innovative Federated Learning-inspired evolutionary framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A furth...
Privacy Knowledge Humans Machine Learning Algorithms Glucose
View on PubMed DOI

An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study.

International journal of surgery (London, England) Mar 1, 2023
BACKGROUND: Although the surgical treatment strategy for rectal cancer (RC) is usually based on the preoperative diagnosis of lymph node metastasis (LNM), the accurate diagnosis of LNM has been a clinical challenge. In this study, we developed machin...
Humans Artificial Intelligence Lymphatic Metastasis Privacy Retrospective Studies Lymph Nodes
View on PubMed DOI

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer.

IEEE journal of biomedical and health informatics Feb 3, 2023
Generative Adversarial Networks (GANs) are a revolutionary innovation in machine learning that enables the generation of artificial data. Artificial data synthesis is valuable especially in the medical field where it is difficult to collect and annot...
Image Processing, Computer-Assisted Electrocardiography Deep Learning Privacy Humans Machine Learning Biomedical Research
View on PubMed DOI

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey.

IEEE journal of biomedical and health informatics Feb 3, 2023
Recent advances in electronic devices and communication infrastructure have revolutionized the traditional healthcare system into a smart healthcare system by using internet of medical things (IoMT) devices. However, due to the centralized training a...
Artificial Intelligence Communication Humans Privacy Hospitals Electronics
View on PubMed DOI

SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force.

Surgical endoscopy Feb 2, 2023
BACKGROUND: Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording devices are available for stand...
Video Recording Robotic Surgical Procedures Privacy Endoscopy Humans Artificial Intelligence Software
View on PubMed DOI

Ethics of Medical Archival Internet Research Data.

Journal of medical Internet research Jan 31, 2023
Medical research based on internet archive data, which in some ways is quite different from other data-based studies, is becoming more and more common. Despite its uniqueness and the challenges that characterize it, clear ethical rules designed to gu...
Humans Biomedical Research Internet Privacy Confidentiality Robotics Ethics, Medical
View on PubMed DOI

An Extended Review Concerning the Relevance of Deep Learning and Privacy Techniques for Data-Driven Soft Sensors.

Sensors (Basel, Switzerland) Dec 27, 2022
The continuously increasing number of mobile devices actively being used in the world amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial increase in the amount of personal data collected, transported, processed, a...
Privacy Humans Software Deep Learning
View on PubMed DOI

Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups.

Sensors (Basel, Switzerland) Dec 20, 2022
Deep learning pervades heavy data-driven disciplines in research and development. The Internet of Things and sensor systems, which enable smart environments and services, are settings where deep learning can provide invaluable utility. However, the d...
Privacy Humans Machine Learning Internet
View on PubMed DOI

Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns.

The Journal of arthroplasty Dec 17, 2022
BACKGROUND: In this work, we applied and validated an artificial intelligence technique known as generative adversarial networks (GANs) to create large volumes of high-fidelity synthetic anteroposterior (AP) pelvis radiographs that can enable deep le...
Humans Artificial Intelligence Pelvis Privacy Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Skeleton-Based Abnormal Behavior Detection Using Secure Partitioned Convolutional Neural Network Model.

IEEE journal of biomedical and health informatics Dec 7, 2022
Theabnormal behavior detection is the vital for evaluation of daily-life health status of the patient with cognitive impairment. Previous studies about abnormal behavior detection indicate that convolution neural network (CNN)-based computer vision o...
Computer Security Skeleton Neural Networks, Computer Privacy Humans
View on PubMed DOI
Popular Topics
Recent Journals