Artificial Intelligence Medical Compendium

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

Showing 851 to 860 of 213,401 articles

TypiCore: A Hybrid Active Query Strategy for Class-Incremental Learning on Time Series

arXiv Jul 20, 2026
Time series data play a pivotal role across numerous domains, including healthcare and manufacturing. In real-world environments, models must cope with distribution shifts over time, a challenge commonly addressed through Continual Learning (CL) tech... read more 
Machine Learning cs.AI

MixDiffusion: Mixing Diffusion-based Uni-condition Text-to-Image Generation Models for Multi-condition Image Synthesis

arXiv Jul 20, 2026
Recent advances in text-to-image (T2I) generation have enabled controllable image synthesis by incorporating conditions beyond text. However, most existing diffusion-based methods are limited to a single type of control condition (e.g., bounding boxe... read more 
Computer Vision and Pattern Recognition

Direct Clinical Joint Angle Extraction from Parametric Body Model Rotation Matrices

arXiv Jul 20, 2026
Quantitative joint angles are rarely available in routine care because the tools are slow, costly, or confined to a laboratory. We show that clinical joint angles can be read directly from the per-segment rotation matrices a parametric body model alr... read more 
Computer Vision and Pattern Recognition q-bio.QM

BMFA: Boundary-Minority Free-Energy Adaptive Screening

arXiv Jul 20, 2026
Vision Transformers process spatially redundant tokens efficiently only when coarse token summaries preserve the evidence required by exponential attention aggregation. We identify a boundary-minority underestimation failure in which a spatially smal... read more 
Computer Vision and Pattern Recognition

OrientSAM: Mitigating Camera-Centric Shortcut in Multimodal Spatial Reasoning via Orientation-Aware Spatial Alignment

arXiv Jul 20, 2026
Multimodal large language models (MLLMs) still struggle with spatial reasoning that requires perspective transformation. In particular, they often rely on camera-centric cues rather than reasoning from the reference object's viewpoint, leading to sys... read more 
Artificial Intelligence cs.CV cs.MM

RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity

arXiv Jul 20, 2026
Camera-only 3D semantic occupancy prediction aims to infer voxel-wise scene semantics from multi-view images, yet remains fundamentally challenging due to depth ambiguity and occlusion. Along a single camera ray, multiple spatially separated surfaces... read more 
Computer Vision and Pattern Recognition

Attention from Above: A Multimodal Model for Drone-Based Object Localization

arXiv Jul 20, 2026
Drone-based object detection technology has advanced rapidly, becoming increasingly sophisticated and efficient. Recently, research trends have expanded beyond the detection of predefined objects toward the identification of specified target objects.... read more 
Computer Vision and Pattern Recognition

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning

arXiv Jul 20, 2026
Contrastive learning is increasingly moving toward settings with three or more modalities instead of image-text pairs. Yet, extending models from pairwise to higher-order multimodal alignment can introduce optimization and representation challenges. ... read more 
Machine Learning cs.AI

Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis

arXiv Jul 20, 2026
Background: Retinal fundus imaging is central to the early diagnosis of sight-threatening conditions including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility of fundus images is routinely compromised by non-uniform illum... read more 
Image and Video Processing cs.CV cs.ET

Memory-Supported Synergistic Adaptation for Training-Free Test-Time Medical Image Segmentation

arXiv Jul 20, 2026
Test-time adaptation (TTA) aims to mitigate distribution shifts by adapting models with unlabeled target data at inference time. While TTA with vision-language models (VLMs) has shown promising results in classification, extending it to medical image... read more 
Computer Vision and Pattern Recognition
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