Artificial Intelligence Medical Compendium

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

Showing 47,301 to 47,310 of 224,199 articles

Outpatient Appointment Scheduling Optimization with a Genetic Algorithm Approach

arXiv Feb 25, 2026
The optimization of complex medical appointment scheduling remains a significant operational challenge in multi-center healthcare environments, where clinical safety protocols and patient logistics must be reconciled. This study proposes and evaluate... read more 
Neural and Evolutionary Computing cs.LG

Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data

arXiv Feb 25, 2026
Disease progression modeling provides a robust framework to identify long-term disease trajectories from short-term biomarker data. It is a valuable tool to gain a deeper understanding of diseases with a long disease trajectory, such as Alzheimer's d... read more 
Machine Learning

NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training

arXiv Feb 25, 2026
Neural operators have emerged as an efficient paradigm for solving PDEs, overcoming the limitations of traditional numerical methods and significantly improving computational efficiency. However, due to the diversity and complexity of PDE systems, ex... read more 
Computer Vision and Pattern Recognition cs.AI

Overview of the CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification

arXiv Feb 25, 2026
Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the open-world nature of clinical environments. Existing benchmarks often rely on closed-set classes from single institutions, failing to capture the prev... read more 
Computer Vision and Pattern Recognition

WeatherCity: Urban Scene Reconstruction with Controllable Multi-Weather Transformation

arXiv Feb 25, 2026
Editable high-fidelity 4D scenes are crucial for autonomous driving, as they can be applied to end-to-end training and closed-loop simulation. However, existing reconstruction methods are primarily limited to replicating observed scenes and lack the ... read more 
Computer Vision and Pattern Recognition

Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D

arXiv Feb 25, 2026
Current medical vision-language models (VLMs) process volumetric brain MRI using 2D slice-based approximations, fragmenting the spatial context required for accurate neuroradiological interpretation. We developed \textbf{Brain3D}, a staged vision-lan... read more 
Computer Vision and Pattern Recognition

GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models

arXiv Feb 25, 2026
Text-to-image (T2I) models are rapidly gaining popularity, yet their outputs often lack geographical diversity, reinforce stereotypes, and misrepresent regions. Given their broad reach, it is critical to rigorously evaluate how these models portray t... read more 
Computer Vision and Pattern Recognition

Probing the Geometry of Diffusion Models with the String Method

arXiv Feb 25, 2026
Understanding the geometry of learned distributions is fundamental to improving and interpreting diffusion models, yet systematic tools for exploring their landscape remain limited. Standard latent-space interpolations fail to respect the structure o... read more 
Machine Learning cs.LG

Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels

arXiv Feb 25, 2026
We present Lumosaic, a compact active hyperspectral video system designed for real-time capture of dynamic scenes. Our approach combines a narrowband LED array with a coded-exposure-pixel (CEP) camera capable of high-speed, per-pixel exposure control... read more 
Image and Video Processing cs.CV

MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language Pretraining

arXiv Feb 25, 2026
Medical vision-language pretraining increasingly relies on medical reports as large-scale supervisory signals; however, raw reports often exhibit substantial stylistic heterogeneity, variable length, and a considerable amount of image-irrelevant cont... read more 
Computer Vision and Pattern Recognition
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