Artificial Intelligence Medical Compendium

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

Showing 45,431 to 45,440 of 224,055 articles

FACE: A Face-based Autoregressive Representation for High-Fidelity and Efficient Mesh Generation

arXiv Mar 2, 2026
Autoregressive models for 3D mesh generation suffer from a fundamental limitation: they flatten meshes into long vertex-coordinate sequences. This results in prohibitive computational costs, hindering the efficient synthesis of high-fidelity geometry... read more 
Computer Vision and Pattern Recognition

Boosting AI Reliability with an FSM-Driven Streaming Inference Pipeline: An Industrial Case

arXiv Mar 2, 2026
The widespread adoption of AI in industry is often hampered by its limited robustness when faced with scenarios absent from training data, leading to prediction bias and vulnerabilities. To address this, we propose a novel streaming inference pipelin... read more 
Computer Vision and Pattern Recognition

Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing

arXiv Mar 2, 2026
Semantic segmentation takes pivotal roles in various applications such as autonomous driving and medical image analysis. When deploying segmentation models in practice, it is critical to test their behaviors in varied and complex scenes in advance. I... read more 
Computer Vision and Pattern Recognition

Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?

arXiv Mar 2, 2026
The contributions of model complexity, data volume, and feature modalities to knowledge graph-based drug repurposing remain poorly quantified under rigorous temporal validation. We constructed a pharmacology knowledge graph from ChEMBL 36 comprising ... read more 
Artificial Intelligence q-bio.BM q-bio.QM

RA-Det: Towards Universal Detection of AI-Generated Images via Robustness Asymmetry

arXiv Mar 2, 2026
Recent image generators produce photo-realistic content that undermines the reliability of downstream recognition systems. As visual appearance cues become less pronounced, appearance-driven detectors that rely on forensic cues or high-level represen... read more 
Computer Vision and Pattern Recognition

PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification

arXiv Mar 2, 2026
Accurate classification of pediatric central nervous system tumors remains challenging due to histological complexity and limited training data. While pathology foundation models have advanced whole-slide image (WSI) analysis, they often fail to leve... read more 
Computer Vision and Pattern Recognition

Align-cDAE: Alzheimer's Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder

arXiv Mar 2, 2026
Generative AI framework-based modeling and prediction of longitudinal human brain images offer an efficient mechanism to track neurodegenerative progression, essential for the assessment of diseases like Alzheimer's. Among the existing generative app... read more 
Computer Vision and Pattern Recognition

Rate-Distortion Signatures of Generalization and Information Trade-offs

arXiv Mar 2, 2026
Generalization to novel visual conditions remains a central challenge for both human and machine vision, yet standard robustness metrics offer limited insight into how systems trade accuracy for robustness. We introduce a rate-distortion-theoretic fr... read more 
Machine Learning cs.CV cs.IT q-bio.NC

SkeleGuide: Explicit Skeleton Reasoning for Context-Aware Human-in-Place Image Synthesis

arXiv Mar 2, 2026
Generating realistic and structurally plausible human images into existing scenes remains a significant challenge for current generative models, which often produce artifacts like distorted limbs and unnatural poses. We attribute this systemic failur... read more 
Computer Vision and Pattern Recognition cs.AI

InterCoG: Towards Spatially Precise Image Editing with Interleaved Chain-of-Grounding Reasoning

arXiv Mar 2, 2026
Emerging unified editing models have demonstrated strong capabilities in general object editing tasks. However, it remains a significant challenge to perform fine-grained editing in complex multi-entity scenes, particularly those where targets are no... read more 
Computer Vision and Pattern Recognition
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