Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 47,411 to 47,420 of 224,199 articles

Predicting Plaque Vulnerability Using Machine Learning-Enabled Nanoagents Sensitized Molecular High-Resolution Magnetic Resonance Imaging Data.

ACS nano Feb 24, 2026
Molecular imaging based on paramagnetic nanoagents has emerged as an intriguing strategy to sensitize the local magnetic properties of pivotal pathological processes related to atherosclerotic plaque destabilization, opening up a potential possibilit... read more 

Understanding human metacontrol and its pathologies using deep neural networks.

Proceedings of the National Academy of Sciences of the United States of America Feb 24, 2026
Error monitoring is crucial for inferring how controllable an environment is, and thus for estimating the value of control processes (metacontrol). In this study, we use computational simulations with deep neural networks to investigate its behaviora... read more 

Enhanced Identification of Chronic Ankle Instability Under Different Conditions: A New Evaluation Framework Based on Feature Fusion and Machine Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 24, 2026
This study proposed a synergy-informed evaluation framework that integrates muscle synergy features derived from non-negative matrix factorization (NNMF) of surface EMG signals with deep feature fusion and machine learning techniques. EMG data were c... read more 

Sampled-Data-Based Secure Synchronization Control of Delayed Coupled Fuzzy Inertial Neural Networks Under Deception Attacks.

IEEE transactions on cybernetics Feb 24, 2026
This article investigates the security control issue of delayed coupled fuzzy inertial neural networks (FINNs) under deception attacks. Aiming to alleviate the influence of deception attacks, a fuzzy sampling data security controller is designed. A t... read more 

Reconfigurable Multiscroll Memristive Neural Network With Application to Telemedicine Privacy Protection.

IEEE transactions on cybernetics Feb 24, 2026
Constructing memristive neural networks (MNNs) with multiscroll chaotic attractors helps advance both theoretical and applied research on neural networks. However, the existing models mainly utilize complex memristor models with polynomial functions,... read more 

Toward Lightweight Dynamic Convolutional Neural Network Modeling for Soft Sensors.

IEEE transactions on cybernetics Feb 24, 2026
Soft sensors are essential for advanced monitoring and control to prevent undesirable operations and improve product quality. However, nonlinear, autocorrelated, and cross-correlated behaviors in industrial data demand concurrent modeling of the dyna... read more 

DHS-AE: A Distributed Support Vector Machine With Adaptive Regularization Parameters for Different Data Distributions.

IEEE transactions on cybernetics Feb 24, 2026
In distributed machine learning scenarios, the difference in data distribution among different nodes is a key issue that cannot be ignored. However, existing methods make it difficult to autonomously adjust model parameters for dynamically changing d... read more 

Attribution Explanations for Deep Neural Networks: A Theoretical Perspective.

IEEE transactions on pattern analysis and machine intelligence Feb 24, 2026
Attribution explanation is a typical approach for interpreting deep neural networks (DNNs), aiming to quantify the contribution score of individual input variables to model predictions. Despite extensive methodological development, a fundamental fait... read more 

Masked Image Modeling for Generalizable Organelle Segmentation in Volume EM.

IEEE transactions on medical imaging Feb 24, 2026
Accurate segmentation of organelles in electron microscopy (EM) volumes is essential for understanding intracellular organization. While promising, deep learning-based methods could be unstable and unreliable without sufficient annotations. Masked im... read more 

Systematic evaluation of computational methods for cell segmentation.

Briefings in Bioinformatics Feb 24, 2026
Cell segmentation plays a crucial role in elucidating cell structure and function, understanding disease mechanisms, and aiding pathological diagnosis. Current surveys primarily categorize methods by their technical evolution stages, which may not fu... read more 
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