AIMC Topic: Federated Learning

Clear Filters Showing 71 to 80 of 83 articles

FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesis.

Computers in biology and medicine Jun 1, 2025
The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) treatment planning. The use of sCT enables the calculation of doses, pushing t...
Humans Brain Magnetic Resonance Imaging Federated Learning Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Male
View on PubMed DOI

Development of time to event prediction models using federated learning.

BMC medical research methodology May 26, 2025
BACKGROUND: In a wide range of diseases, it is necessary to utilize multiple data sources to obtain enough data for model training. However, performing centralized pooling of multiple data sources, while protecting each patients' sensitive data, can ...
Survival Analysis Proportional Hazards Models Hodgkin Disease Federated Learning Time Factors Algorithms Humans Models, Statistical Computer Simulation Machine Learning
View on PubMed DOI

Robust two stages federated learning for sensor based human activity recognition with label noise.

Scientific reports May 18, 2025
Federated learning is widely used for collaborative training of human activity recognition models across multiple devices with limited local data. However, label noise caused by human and time constraints during data annotation is common and severely...
Algorithms Human Activities Federated Learning Humans Machine Learning
View on PubMed DOI

Federated Learning for Predictive Analytics in Weaning from Mechanical Ventilation.

Studies in health technology and informatics May 15, 2025
Mechanical ventilation is crucial for critically ill patients in ICUs, requiring accurate weaning and extubations timing for optimal outcomes. Current prediction models struggle with generalizability across datasets like MIMIC-IV and eICU-CRD. We pro...
Intensive Care Units Respiration, Artificial Humans Machine Learning Federated Learning Germany Ventilator Weaning
View on PubMed DOI

Enhancing Trust by a Keycloak-Flower Integration for Federated Machine Learning.

Studies in health technology and informatics May 15, 2025
Since its introduction, federated learning (FL) has attracted a lot of attention in the medical field, but its actual application in healthcare organisations remains limited. Flower is a leading FL framework known for its good documentation and wide ...
Systems Integration Trust Machine Learning Federated Learning Computer Security Software
View on PubMed DOI

A Federated Learning Model for the Prediction of Blood Transfusion in Intensive Care Units.

Studies in health technology and informatics May 15, 2025
Accurate prediction of blood transfusion requirements is crucial for patient outcomes and resource management in clinical settings. We developed a machine learning model using XGBoost to predict the need for a blood transfusion 2 hours in advance bas...
Intensive Care Units Humans Blood Transfusion Machine Learning Federated Learning
View on PubMed DOI

Federated Learning for Healthcare: Class Imbalance Mitigation and Feature Drift Detection.

Studies in health technology and informatics Apr 24, 2025
Federated learning (FL) has the potential to revolutionize healthcare by enabling collaborative data analysis while keeping data decentralized. Monitoring data quality is crucial for successful FL in healthcare, as undetected issues can compromise mo...
Humans Machine Learning Data Accuracy Federated Learning
View on PubMed DOI

FedPneu: Federated Learning for Pneumonia Detection across Multiclient Cross-Silo Healthcare Datasets.

Current medical imaging Jan 1, 2025
BACKGROUND: Pneumonia is an acute respiratory infection that has emerged as the predominant catalyst for escalating mortality rates worldwide. In the pursuit of the prevention and prediction of pneumonia, this work employs the development of an advan...
Datasets as Topic Federated Learning Deep Learning Pneumonia Humans Diagnosis, Computer-Assisted
View on PubMed DOI

Cough Classification of Unknown Emerging Respiratory Disease with Federated Learning.

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
Artificial intelligence offers great potential to address the need for rapid diagnostic testing in pandemic scenarios. Concerns about security and privacy, however, complicate the collection of large representative medical data. Federated Learning (F...
Federated Learning Machine Learning COVID-19 SARS-CoV-2 Humans Pandemics Algorithms Cough Artificial Intelligence
View on PubMed DOI

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...
Machine Learning Computer Security Algorithms Image Processing, Computer-Assisted Humans Polyps Privacy Federated Learning
View on PubMed DOI
Popular Topics
Recent Journals