Artificial Intelligence Medical Compendium

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

Showing 31,471 to 31,480 of 220,544 articles

Optimizing Earth Observation Satellite Schedules under Unknown Operational Constraints: An Active Constraint Acquisition Approach

arXiv Apr 14, 2026
Earth Observation (EO) satellite scheduling (deciding which imaging tasks to perform and when) is a well-studied combinatorial optimization problem. Existing methods typically assume that the operational constraint model is fully specified in advance... read more 
Artificial Intelligence cs.LG

Bias at the End of the Score

arXiv Apr 14, 2026
Reward models (RMs) are inherently non-neutral value functions designed and trained to encode specific objectives, such as human preferences or text-image alignment. RMs have become crucial components of text-to-image (T2I) generation systems where t... read more 
Computer Vision and Pattern Recognition

Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering

arXiv Apr 14, 2026
An unsupervised framework for hyperspectral image (HSI) clustering is proposed that incorporates masked deep representation learning with diffusion-based clustering, extending the Spatially-Regularized Superpixel-based Diffusion Learning ($S^2DL$) al... read more 
Computer Vision and Pattern Recognition cs.LG

The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform

arXiv Apr 14, 2026
High-resolution data in spatial and temporal contexts is imperative for developing climate resilient cities. Current datasets for monitoring urban parameters are developed primarily using manual inspections, embedded-sensing, remote sensing, or stand... read more 
Computer Vision and Pattern Recognition cs.LG

Why MLLMs Struggle to Determine Object Orientations

arXiv Apr 14, 2026
Multimodal Large Language Models (MLLMs) struggle with tasks that require reasoning about 2D object orientation in images, as documented in prior work. Tong et al. and Nichols et al. hypothesize that these failures originate in the visual encoder, si... read more 
Computer Vision and Pattern Recognition

Towards Successful Implementation of Automated Raveling Detection: Effects of Training Data Size, Illumination Difference, and Spatial Shift

arXiv Apr 14, 2026
Raveling, the loss of aggregates, is a major form of asphalt pavement surface distress, especially on highways. While research has shown that machine learning and deep learning-based methods yield promising results for raveling detection by classific... read more 
Computer Vision and Pattern Recognition

Multi-Task LLM with LoRA Fine-Tuning for Automated Cancer Staging and Biomarker Extraction

arXiv Apr 14, 2026
Pathology reports serve as the definitive record for breast cancer staging, yet their unstructured format impedes large-scale data curation. While Large Language Models (LLMs) offer semantic reasoning, their deployment is often limited by high comput... read more 
Machine Learning

Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation

arXiv Apr 14, 2026
In electronic health record (EHR) mining, learning high-quality representations of medical concepts (e.g., standardized diagnosis, medication, and procedure codes) is fundamental for downstream clinical prediction. However, robust concept representat... read more 
Machine Learning

MSGS: Multispectral 3D Gaussian Splatting

arXiv Apr 14, 2026
We present a multispectral extension to 3D Gaussian Splatting (3DGS) for wavelength-aware view synthesis. Each Gaussian is augmented with spectral radiance, represented via per-band spherical harmonics, and optimized under a dual-loss supervision sch... read more 
Computer Vision and Pattern Recognition cs.GR

Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution

arXiv Apr 14, 2026
Latent diffusion models for medical image super-resolution universally inherit variational autoencoders designed for natural photographs. We show that this default choice, not the diffusion architecture, is the dominant constraint on reconstruction q... read more 
Computer Vision and Pattern Recognition cs.AI
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