Artificial Intelligence Medical Compendium

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

Showing 49,531 to 49,540 of 224,513 articles

High-speed quantitative X-ray multi-contrast imaging with deep learning based modulated pattern analysis.

Journal of synchrotron radiation Feb 17, 2026
The advent of X-ray multi-contrast imaging methods, providing absorption, phase, and dark-field images, holds tremendous promise for complementary and non-destructive visualization of inner structures within materials and bio-samples. However, the lo... read more 

Novel Event-Based Peripheral Oxygen Saturation Metrics Provide Complementary Information for OSA Classification.

IEEE transactions on bio-medical engineering Feb 17, 2026
OBJECTIVE: The Apnea-Hypopnea Index (AHI) serves as the primary metric for Obstructive Sleep Apnea (OSA) severity but quantifies only event frequency, lacking critical information on the slope and temporal morphology of oxygen desaturation. METHODS: ... read more 

Heterophily-Aware Spectral GCN for Population-Level Brain Disorder Prediction.

IEEE journal of biomedical and health informatics Feb 17, 2026
Integrating resting-state functional magnetic resonance imaging (rs-fMRI) and phenotypic data is a promising way to build a comprehensive population graph for the prediction of brain disorders using graph neural networks (GNNs). However, existing GNN... read more 

IMU-Based Pelvic Rotation Detection: A Novel Dataset, Benchmark Classifiers, and Sensor Placement Optimization.

IEEE journal of biomedical and health informatics Feb 17, 2026
Prolonged sedentary behavior has been a major public health concern strongly associated with low back pain (LBP), the leading cause of disability worldwide. Monitoring pelvic rotations (PRs), a key factor in postural control, is crucial for LBP preve... read more 

PGST: A prototype-guided parameter-efficient network for spatial transcriptomics prediction.

IEEE journal of biomedical and health informatics Feb 17, 2026
Spatial transcriptomics (ST) aims to decode spatially resolved gene expression patterns while preserving tissue morphology. Current methods tend to use lower-cost deep learning approaches for gene expression prediction, yet face severe challenges. Fi... read more 

OnUVS: An Online Motion Transfer Framework with Content-Texture Decoupling for High-Fidelity Ultrasound Video Synthesis.

IEEE journal of biomedical and health informatics Feb 17, 2026
Ultrasound (US) imaging plays a crucial role in diagnosing heart and pelvic diseases, where sonographers tend to evaluate dynamic motion and structure. However, the scarcity of US videos for rare cases limits training opportunities for novice sonogra... read more 

Alignment-Invertibility Regularization for Explainable Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Feb 17, 2026
Deep learning has profoundly impacted society, yet the inherent nature of deep neural networks hinders further application to high-reliability industries. To demystify these black-boxes, numerous works attempt to improve the explainability by observi... read more 

Molecular determinants underlying NPH3 condensation and function in phototropism: an integrative approach.

The Plant cell Feb 17, 2026
The plasma membrane-associated protein NON-PHOTOTROPIC HYPOCOTYL 3 (NPH3) is a key component of plant phototropism. In response to blue light, NPH3 is released into the cytosol, where it undergoes a dynamic transition into membrane-less biomolecular ... read more 

Expression of Concern: Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm.

PloS one Feb 17, 2026
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Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults.

PLOS global public health Feb 17, 2026
With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs), including hypertension and diabetes, pose significant public health challenges in Bangladesh and many other low- and middle-income countries. This ... read more 
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