AIMC Topic: Federated Learning

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False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
Computer Security Federated Learning Machine Learning Algorithms Electronic Health Records ROC Curve Humans False Positive Reactions
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans.

Scientific reports Jul 2, 2025
The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, comp...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Privacy Federated Learning Brain Neoplasms Deep Learning Tomography, X-Ray Computed
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Leveraging federated learning and edge computing for pandemic-resilient healthcare.

Scientific reports Jul 1, 2025
The universal demand for the development and deployment of responsive medical infrastructure and damage control techniques, including the application of technology, is the foremost necessity that emerged immediately in the post-pandemic era. Numerous...
Deep Learning Internet of Things Contact Tracing Delivery of Health Care SARS-CoV-2 Federated Learning Humans Pandemics COVID-19 Artificial Intelligence
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A highly generalized federated learning algorithm for brain tumor segmentation.

Scientific reports Jul 1, 2025
Brain image segmentation plays a pivotal role in modern healthcare by enabling precise diagnosis and treatment planning. Federated Learning (FL) enables collaborative model training across institutions while safeguarding sensitive patient data. The i...
Artificial Intelligence Machine Learning Algorithms Humans Magnetic Resonance Imaging Brain Neoplasms Federated Learning Image Processing, Computer-Assisted
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Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis.

IEEE transactions on medical imaging May 2, 2025
Federated learning (FL) methods for multi-organ segmentation in CT scans are gaining popularity, but generally require numerous rounds of parameter exchange between a central server and clients. This repetitive sharing of parameters between server an...
Image Processing, Computer-Assisted Federated Learning Machine Learning Algorithms Tomography, X-Ray Computed Humans
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Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis.

Computer methods and programs in biomedicine Apr 19, 2025
Federated Learning (FL) has emerged as a promising approach for collaborative medical image analysis while preserving data privacy, making it particularly suitable for radiomics tasks. This paper presents a systematic meta-analysis of recent surveys ...
Federated Learning Image Processing, Computer-Assisted Diagnostic Imaging Privacy Radiomics Surveys and Questionnaires Machine Learning Algorithms Humans
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Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Biosensors Apr 16, 2025
Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in diabetes management is maintaining blood glucose levels (BGLs) within a safe range to prevent compli...
Photoplethysmography Humans Machine Learning Blood Glucose Blood Glucose Self-Monitoring Federated Learning Diabetes Mellitus Biosensing Techniques Neural Networks, Computer
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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...
Breast Neoplasms Confidentiality Federated Learning Privacy Humans Information Dissemination Machine Learning Computer Security Female
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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 Confidentiality Humans Federated Learning Privacy Magnetic Resonance Imaging
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Federated learning with integrated attention multiscale model for brain tumor segmentation.

Scientific reports Apr 7, 2025
Brain tumors are an extremely deadly condition and the growth of abnormal cells that have formed inside the brain causes the illness. According to studies, Magnetic Resonance Imaging (MRI) is a fundamental imaging method that is frequently used in me...
Machine Learning Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Neoplasms Humans Federated Learning
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