Artificial Intelligence Medical Compendium

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

Showing 59,281 to 59,290 of 227,876 articles

FluidFormer : Transformer with continuous convolution for particle-based fluid simulation.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Learning-based fluid simulation has emerged as an efficient alternative to traditional Navier-Stokes solvers. However, existing neural methods that build upon Smoothed Particle Hydrodynamics (SPH) predominantly rely on local particle interactions, wh... read more 

Adaptive sampling for efficient Lamb wavefield reconstruction in composite laminates with Spatial-Temporal Masked AutoEncoder.

Ultrasonics Jan 21, 2026
The increasing demand for high-accuracy damage quantification in carbon fiber reinforced plastics (CFRP) has led to the widespread adoption of ultrasonic Lamb wave testing (ULWT) for non-destructive testing (NDT) in various engineering applications. ... read more 

MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Significant progress has been made in the application of transformer architectures for multimodal tasks. However, current methods such as the self-attention mechanism rarely consider the benefits that feature complementarity and consistency between d... read more 

PHoM: Effective pan-sharpening via higher-order state-space model.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Pan-sharpening is intended to generate high-resolution multi-spectral images, utilizing pairs of low-resolution multi-spectral and high-resolution panchromatic images. Recently, the Mamba-based pan-sharpening models achieve state-of-the-art performan... read more 

Relation-aware pre-trained network with hierarchical aggregation mechanism for cold-start drug recommendation.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Drug recommendation systems have garnered considerable interest in the healthcare, striving to offer precise and customized drug prescriptions that align with patients' specific health needs. However, existing methods primarily focus on modeling temp... read more 

Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach.

Psychiatry research. Neuroimaging Jan 21, 2026
Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal cla... read more 

Cross-category spatiotemporal consensus and discriminative networks for weakly-supervised temporal action localization.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Weakly-supervised temporal action localization is a practical task that localizes different action instances from untrimmed videos without frame-level annotations. Current approaches either enhance the discriminative features of action snippets to re... read more 

ClathPLM: Deep multi-view feature extraction with CNN and attention enhances clathrin protein identification.

Journal of molecular graphics & modelling Jan 21, 2026
Clathrin is a key structural protein in intracellular vesicle transport, mainly mediating clathrin-mediated endocytosis (CME) through trimeric assembly. Its functional abnormalities are closely associated with various diseases, including neurodegener... read more 

Artificial Intelligence Helps Diagnose Oral Potentially Malignant Disorders: A Systematic Review and Meta-Analysis.

JDR clinical and translational research Jan 21, 2026
INTRODUCTION: Oral potentially malignant disorders (OPMDs) can lead to oral cancer, which is one of the most common cancers worldwide. Prevention is crucial in the avoidance of malignant transformations of OPMDs. Artificial intelligence (AI) provides... read more 

Cooking and eating quality of ethnic Bora rice (Oryza sativa L.): machine learning-based prediction of resistant starch content in ready-to-eat products.

Journal of the science of food and agriculture Jan 21, 2026
BACKGROUND: Assamese glutinous Bora rice (Oryza sativa L.) is widely used for various ethnic food preparations. However, its resistant starch (RS) content, which influences the glycemic index (GI), remains poorly characterized. This exploratory study... read more 
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