Artificial Intelligence Medical Compendium

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

Showing 24,001 to 24,010 of 217,366 articles

DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets

arXiv May 1, 2026
Medical imaging datasets are often characterized by extreme class imbalances, where rare pathologies are significantly underrepresented compared to common conditions. This imbalance poses a dual challenge for Open-Set Recognition (OSR): models must m... read more 
Computer Vision and Pattern Recognition

FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization

arXiv May 1, 2026
Federated learning (FL) holds great potential for medical applications. However, statistical heterogeneity across healthcare institutions poses a major challenge for FL, as the global model struggles both to generalize across unseen patient populatio... read more 
Image and Video Processing cs.LG

PhysEdit: Physically-Consistent Region-Aware Image Editing via Adaptive Spatio-Temporal Reasoning

arXiv May 1, 2026
Image editing instructions are heterogeneous: a color swap, an object insertion, and a physical-action edit all demand different spatial coverage and different reasoning depth, yet existing reasoning-based editors apply a single fixed inference recip... read more 
Computer Vision and Pattern Recognition

Deep Kernel Learning for Stratifying Glaucoma Trajectories

arXiv May 1, 2026
Effectively stratifying patient risk in chronic diseases like glaucoma is a major clinical challenge. Clinicians need tools to identify patients at high risk of progression from sparse and irregularly-sampled electronic health records (EHRs). We prop... read more 
Machine Learning

Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels

arXiv May 1, 2026
Knee osteoarthritis (OA) assessment involves a natural but often underused label hierarchy: a coarse binary OA decision and a fine-grained Kellgren--Lawrence (KL) severity grade. Existing deep learning studies commonly treat these targets as separate... read more 
Computer Vision and Pattern Recognition

Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy

arXiv May 1, 2026
Unsupervised deraining has attracted attention for its ability to learn the real-world distribution of rain without paired supervision. However, the lack of strong constraints makes it difficult for the network to converge, especially with the comple... read more 
Computer Vision and Pattern Recognition

Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection

arXiv May 1, 2026
Single-point supervised infrared small target detection (IRSTD) drastically reduces dense annotation costs. Current state-of-the-art (SOTA) methods achieve high precision by recovering mask supervision through explicit, offline pseudo-label construct... read more 
Computer Vision and Pattern Recognition

EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

arXiv May 1, 2026
Federated Multimodal Learning (FML) trains multimodal models across decentralized clients while keeping their image-text pairs private. However, joint embedding training entangles forgotten knowledge across both modalities and client gradient subspac... read more 
Networking and Internet Architecture cs.AI cs.LG cs.MM

Temporal Data Requirement for Predicting Unplanned Hospital Readmissions

arXiv May 1, 2026
With the proliferation of Electronic Health Records (EHRs), a critical challenge in building predictive models is determining the optimal historical data time window to maximize accuracy. This study investigates the impact of various observation wind... read more 
Machine Learning

Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels

arXiv May 1, 2026
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in multiple directions and are wide... read more 
Computer Vision and Pattern Recognition
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