Artificial Intelligence Medical Compendium

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

Showing 45,471 to 45,480 of 224,055 articles

Generative Visual Chain-of-Thought for Image Editing

arXiv Mar 2, 2026
Existing image editing methods struggle to perceive where to edit, especially under complex scenes and nuanced spatial instructions. To address this issue, we propose Generative Visual Chain-of-Thought (GVCoT), a unified framework that performs nativ... read more 
Computer Vision and Pattern Recognition

Zero-shot Low-Field MRI Enhancement via Diffusion-Based Adaptive Contrast Transport

arXiv Mar 2, 2026
Low-field (LF) magnetic resonance imaging (MRI) democratizes access to diagnostic imaging but is fundamentally limited by low signal-to-noise ratio and significant tissue contrast distortion due to field-dependent relaxation dynamics. Reconstructing ... read more 
Computer Vision and Pattern Recognition

MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection

arXiv Mar 2, 2026
Smartphone clip-on microscopes turn everyday devices into low-cost, portable imaging systems that can even reveal fungal structures at the microscopic level, enabling mold inspection beyond unaided visual checks. In this paper, we introduce MobileMol... read more 
Computer Vision and Pattern Recognition

physfusion: A Transformer-based Dual-Stream Radar and Vision Fusion Framework for Open Water Surface Object Detection

arXiv Mar 2, 2026
Detecting water-surface targets for Unmanned Surface Vehicles (USVs) is challenging due to wave clutter, specular reflections, and weak appearance cues in long-range observations. Although 4D millimeter-wave radar complements cameras under degrad... read more 
Computer Vision and Pattern Recognition cs.AI

PreSight: Preoperative Outcome Prediction for Parkinson's Disease via Region-Prior Morphometry and Patient-Specific Weighting

arXiv Mar 2, 2026
Preoperative improvement rate prediction for Parkinson's disease surgery is clinically important yet difficult because imaging signals are subtle and patients are heterogeneous. We address this setting, where only information available before surgery... read more 
Computer Vision and Pattern Recognition

Semantic Similarity is a Spurious Measure of Comic Understanding: Lessons Learned from Hallucinations in a Benchmarking Experiment

arXiv Mar 2, 2026
A system that enables blind or visually impaired users to access comics/manga would introduce a new medium of storytelling to this community. However, no such system currently exists. Generative vision-language models (VLMs) have shown promise in des... read more 
Machine Learning cs.CL cs.CV

Robust White Blood Cell Classification with Stain-Normalized Decoupled Learning and Ensembling

arXiv Mar 2, 2026
White blood cell (WBC) classification is fundamental for hematology applications such as infection assessment, leukemia screening, and treatment monitoring. However, real-world WBC datasets present substantial appearance variations caused by staining... read more 
Computer Vision and Pattern Recognition

According to Me: Long-Term Personalized Referential Memory QA

arXiv Mar 2, 2026
Personalized AI assistants must recall and reason over long-term user memory, which naturally spans multiple modalities and sources such as images, videos, and emails. However, existing Long-term Memory benchmarks focus primarily on dialogue history,... read more 
Artificial Intelligence cs.CL cs.CV

MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

arXiv Mar 2, 2026
Low-dose Positron Emission Tomography (PET) reduces radiation exposure but suffers from severe noise and quantitative degradation. Diffusion-based denoising models achieve strong final reconstructions, yet their reverse trajectories are typically unc... read more 
Computer Vision and Pattern Recognition cs.AI

MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

arXiv Mar 2, 2026
Recent progress in the reasoning capabilities of multimodal large language models (MLLMs) has empowered them to address more complex tasks such as scientific analysis and mathematical reasoning. Despite their promise, MLLMs' reasoning abilities acros... read more 
Computation and Language cs.AI cs.CV
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