Artificial Intelligence Medical Compendium

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

Showing 34,101 to 34,110 of 221,510 articles

Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening

arXiv Apr 7, 2026
Medical image segmentation driven by free-text clinical instructions is a critical frontier in computer-aided diagnosis. However, existing multimodal and foundation models struggle with the semantic ambiguity of clinical reports and fail to disambigu... read more 
Computer Vision and Pattern Recognition cs.AI

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions

arXiv Apr 7, 2026
Accurately detecting and localizing hallucinations is a critical task for ensuring high reliability of image captions. In the era of Multimodal Large Language Models (MLLMs), captions have evolved from brief sentences into comprehensive narratives, o... read more 
Computer Vision and Pattern Recognition cs.CL cs.MM

A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting

arXiv Apr 7, 2026
Remote sensing imagery suffers from clouds, haze, noise, resolution limits, and sensor heterogeneity. Existing restoration and fusion approaches train separate models per degradation type. In this work, we present Language-conditioned Large-scale Rem... read more 
Computer Vision and Pattern Recognition

Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis

arXiv Apr 7, 2026
Gastrointestinal diseases impose a growing global health burden, and endoscopy is a primary tool for early diagnosis. However, routine endoscopic image interpretation still suffers from missed lesions and limited efficiency. Although AI-assisted diag... read more 
Computer Vision and Pattern Recognition cs.AI

Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective

arXiv Apr 7, 2026
While much of the medical computer vision community has focused on advancing performance for specific tasks, the underlying relationships between tasks, i.e., how they relate, overlap, or differ on a representational level, remain largely unexplored.... read more 
Computer Vision and Pattern Recognition

Time-Domain Voice Identity Morphing (TD-VIM): A Signal-Level Approach to Morphing Attacks on Speaker Verification Systems

arXiv Apr 7, 2026
In biometric systems, it is a common practice to associate each sample or template with a specific individual. Nevertheless, recent studies have demonstrated the feasibility of generating "morphed" biometric samples capable of matching multiple ident... read more 
Sound

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models

arXiv Apr 7, 2026
Reconstructing 3D scenes from smoke-degraded multi-view images is particularly difficult because smoke introduces strong scattering effects, view-dependent appearance changes, and severe degradation of cross-view consistency. To address these issues,... read more 
Computer Vision and Pattern Recognition

CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration

arXiv Apr 7, 2026
We present Consistent-Recurrent Feature Flow Transformer (CRFT), a unified coarse-to-fine framework based on feature flow learning for robust cross-modal image registration. CRFT learns a modality-independent feature flow representation within a tran... read more 
Computer Vision and Pattern Recognition cs.AI

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath

arXiv Apr 7, 2026
Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exercise. However, its utility is limited by confounding factors, as well as by the fact that significant changes in concentration occur only hours post-... read more 
Medical Physics cs.LG

MPM: Mutual Pair Merging for Efficient Vision Transformers

arXiv Apr 7, 2026
Decreasing sequence length is a common way to accelerate transformers, but prior token reduction work often targets classification and reports proxy metrics rather than end-to-end latency. For semantic segmentation, token reduction is further constra... read more 
Computer Vision and Pattern Recognition
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