Artificial Intelligence Medical Compendium

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

Showing 46,491 to 46,500 of 224,055 articles

Integrating Multimodal Neuroimaging and Physical-Health Markers for Autism Spectrum Disorder in the ABCD Study.

Journal of integrative neuroscience Feb 26, 2026
BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by diverse presentations, which complicates the identification of consistent biological markers. This study examined whether integrating multimodal neu... read more 

[CefaleApp: A Mobile Application for Migraine Diagnosis in Primary Health Care].

Revista de neurologia Feb 26, 2026
INTRODUCTION: Headaches are the main reason for visits to Neurology clinics, and migraine is the most common primary headache. with migraine being the most frequent. Our objective was to develop a computer application (app) that could empower Primary... read more 

Molecular basis of muscle wasting and emerging therapeutic strategies targeting degenerative muscle disorders.

Experimental cell research Feb 26, 2026
Muscle degenerative conditions, including sarcopenia, muscular dystrophies, and trauma-induced muscle loss, severely compromise mobility, metabolism, and overall health. These disorders result from multifactorial causes such as imbalances in protein ... read more 

Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis

arXiv Feb 26, 2026
We propose a Hierarchical Multi-scale Knowledge-aware Graph Network (HMKGN) that models multi-scale interactions and spatially hierarchical relationships within whole-slide images (WSIs) for cancer prognostication. Unlike conventional attention-based... read more 
Image and Video Processing cs.AI cs.CV

Synthetic Visual Genome 2: Extracting Large-scale Spatio-Temporal Scene Graphs from Videos

arXiv Feb 26, 2026
We introduce Synthetic Visual Genome 2 (SVG2), a large-scale panoptic video scene graph dataset. SVG2 contains over 636K videos with 6.6M objects, 52.0M attributes, and 6.7M relations, providing an order-of-magnitude increase in scale and diversity o... read more 
Computer Vision and Pattern Recognition

Automated Dose-Based Anatomic Region Classification of Radiotherapy Treatment for Big Data Applications

arXiv Feb 26, 2026
Curation is a significant barrier to using 'big data' radiotherapy planning databases of 100,000+ patients. Anatomic site stratification is essential for downstream analyses, but current methods rely on inconsistent plan labels or target nomenclature... read more 
Medical Physics cs.CV

Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models

arXiv Feb 26, 2026
Foundation models pretrained on large-scale 3D medical imaging data face challenges when adapted to multiple downstream tasks under continual learning with limited labeled data. We address few-shot continual learning for 3D brain MRI by combining a f... read more 
Image and Video Processing cs.CV cs.LG

V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space

arXiv Feb 26, 2026
Reachability analysis has become increasingly important in robotics to distinguish safe from unsafe states. Unfortunately, existing reachability and safety analysis methods often fall short, as they typically require known system dynamics or large da... read more 
Robotics cs.CV cs.LG

SegReg: Latent Space Regularization for Improved Medical Image Segmentation

arXiv Feb 26, 2026
Medical image segmentation models are typically optimised with voxel-wise losses that constrain predictions only in the output space. This leaves latent feature representations largely unconstrained, potentially limiting generalisation. We propose {S... read more 
Image and Video Processing cs.AI cs.CV

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package

arXiv Feb 26, 2026
Background: Clinical prediction models are increasingly used to inform healthcare decisions, but determining the minimum sample size for their development remains a critical and unresolved challenge. Inadequate sample sizes can lead to overfitting, p... read more 
Machine Learning stat.AP stat.ME
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