Artificial Intelligence Medical Compendium

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

Showing 46,601 to 46,610 of 224,199 articles

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume

arXiv
Despite their capabilities, Multimodal Large Language Models (MLLMs) may produce plausible but erroneous outputs, hindering reliable deployment. Accurate uncertainty metrics could enable escalation of unreliable queries to human experts or larger mod... read more 

Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics

arXiv
Estimating density ratios between pairs of intractable data distributions is a core problem in probabilistic modeling, enabling principled comparisons of sample likelihoods under different data-generating processes across conditions and covariates. W... read more 

MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy

arXiv
Modern microscopy routinely produces gigapixel images that contain structures across multiple spatial scales, from fine cellular morphology to broader tissue organization. Many analysis tasks require combining these scales, yet most vision models ope... read more 

Enhancing Spatial Understanding in Image Generation via Reward Modeling

arXiv
Recent progress in text-to-image generation has greatly advanced visual fidelity and creativity, but it has also imposed higher demands on prompt complexity-particularly in encoding intricate spatial relationships. In such cases, achieving satisfacto... read more 

Joint Geometric and Trajectory Consistency Learning for One-Step Real-World Super-Resolution

arXiv
Diffusion-based Real-World Image Super-Resolution (Real-ISR) achieves impressive perceptual quality but suffers from high computational costs due to iterative sampling. While recent distillation approaches leveraging large-scale Text-to-Image (T2I) p... read more 

Histopathology Image Normalization via Latent Manifold Compaction

arXiv
Batch effects arising from technical variations in histopathology staining protocols, scanners, and acquisition pipelines pose a persistent challenge for computational pathology, hindering cross-batch generalization and limiting reliable deployment o... read more 

UFO-4D: Unposed Feedforward 4D Reconstruction from Two Images

arXiv
Dense 4D reconstruction from unposed images remains a critical challenge, with current methods relying on slow test-time optimization or fragmented, task-specific feedforward models. We introduce UFO-4D, a unified feedforward framework to reconstruct... read more 

PhotoAgent: Agentic Photo Editing with Exploratory Visual Aesthetic Planning

arXiv
With the recent fast development of generative models, instruction-based image editing has shown great potential in generating high-quality images. However, the quality of editing highly depends on carefully designed instructions, placing the burden ... read more 

CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation

arXiv
Video polyp segmentation (VPS) is an important task in computer-aided colonoscopy, as it helps doctors accurately locate and track polyps during examinations. However, VPS remains challenging because polyps often look similar to surrounding mucosa, l... read more 

Reflectance Multispectral Imaging for Soil Composition Estimation and USDA Texture Classification

arXiv
Soil texture is a foundational attribute that governs water availability and erosion in agriculture, as well as load bearing capacity, deformation response, and shrink-swell risk in geotechnical engineering. Yet texture is still typically determined ... read more