Artificial Intelligence Medical Compendium

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

Showing 27,841 to 27,850 of 219,064 articles

Systematic Abductive Reasoning via Diverse Relation Representations in Vector-Symbolic Architecture.

IEEE transactions on neural networks and learning systems Apr 22, 2026
In abstract visual reasoning, monolithic deep learning models suffer from limited interpretability and generalization, while existing neuro-symbolic approaches fall short in capturing the diversity and systematicity of attribute and relation represen... read more 

Forgettable Federated Linear Learning With Certified Data Unlearning.

IEEE transactions on neural networks and learning systems Apr 22, 2026
The advent of federated learning (FL) has revolutionized the way distributed systems handle collaborative model training while preserving user privacy. Recently, federated unlearning (FU) has emerged to address demands for the "right to be forgotten"... read more 

Node Classification in GNNs: Impact of Neighborhood Label Distribution on Homophily and Heterophily.

IEEE transactions on neural networks and learning systems Apr 22, 2026
In node classification, traditional graph neural networks (GNNs) typically assume implicit homophily, indicating that intraclass nodes are likely connected. However, real-world graphs frequently exhibit heterophily, in which interclass nodes are also... read more 

Counterfactual Risk Minimization for Out-of-Distribution Generalization.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 22, 2026
The out-of-distribution (OOD) property in data is deemed as one main challenge hindering the generalization ability of machine learning algorithms. However, the underlying reasons for this property remain an intriguing and open question that has yet ... read more 

Joint Quality Assessment and Example-Guided Tone Mapping by Disentangling Picture Appearance from Content.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 22, 2026
The deep learning revolution has strongly impacted low-level image processing tasks such as style/domain transfer, enhancement/restoration, and visual quality assessments. Despite often being treated separately, the aforementioned tasks share a commo... read more 

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction.

IEEE transactions on medical imaging Apr 22, 2026
Deep learning (DL) methods can reconstruct highly accelerated magnetic resonance imaging (MRI) scans, but they rely on application-specific large training datasets and often generalize poorly to out-of-distribution data. Self-supervised deep learning... read more 

Reparameterization-Driven Depthwise Separable Large-Kernel Network for Lightweight Salient Object Detection of Strip Steel Surface Defects.

IEEE transactions on cybernetics Apr 22, 2026
With the rapid development of neural networks, strip steel surface defect detection, as an important task in computer vision, has achieved remarkable progress. However, state-of-the-art methods still face a tradeoff between accuracy and efficiency. H... read more 

'Real time, real change': the role of artificial intelligence in providing real-time language translation services in regional medicine.

Internal medicine journal Apr 22, 2026
Artificial intelligence (AI) is rapidly evolving worldwide, enabling greater flexibility and applicability to the field of language translation within healthcare. Australia is currently one of the most culturally and linguistically diverse countries ... read more 

FiLM-Enhanced Biologically Informed Neural Networks for Multiclass Omics Analysis and Biomarker Discovery.

Analytical chemistry Apr 22, 2026
High-throughput proteomics enables detailed molecular phenotyping but poses challenges for predictive modeling and interpretation due to high dimensionality, sparsity, and nonlinear interactions. Biologically informed neural networks (BINNs) address ... read more 

Enhancing CNN regressors with contour encoding and self-supervision for improved 3D/2D X-ray to CT registration in spinal surgery navigation.

Biomedical physics & engineering express Apr 22, 2026
With advances in deep learning, regression-based methods have shown promising results in 3D/2D medical image registration. However, strict intraoperative radiation dose constraints produce low-dose X-ray images with severe blur and reduced contrast, ... read more 
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