Artificial Intelligence Medical Compendium

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

Showing 44,701 to 44,710 of 224,055 articles

RealWonder: Real-Time Physical Action-Conditioned Video Generation

arXiv Mar 5, 2026
Current video generation models cannot simulate physical consequences of 3D actions like forces and robotic manipulations, as they lack structural understanding of how actions affect 3D scenes. We present RealWonder, the first real-time system for ac... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR

Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields

arXiv Mar 5, 2026
Hyperspectral images (HSI) have many applications, ranging from environmental monitoring to national security, and can be used for material detection and identification. Longwave infrared (LWIR) HSI can be used for gas plume detection and analysis. O... read more 
Computer Vision and Pattern Recognition

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

arXiv Mar 5, 2026
Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as precision medicine and individualized policy-making. Yet, the survival analysis setting poses unique challenges for HT... read more 
Machine Learning cs.AI stat.ML

Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups

arXiv Mar 5, 2026
High-quality 3D streaming from multiple cameras is crucial for immersive experiences in many AR/VR applications. The limited number of views - often due to real-time constraints - leads to missing information and incomplete surfaces in the rendered i... read more 
Computer Vision and Pattern Recognition cs.GR

AutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text Interaction

arXiv Mar 5, 2026
Information-intensive Document Question Answering (DocQA) is often constrained by long contexts and information overload, which hinders Vision-Language Models (VLMs) from performing precise direct reasoning. Although multimodal GraphRAG has achieved ... read more 
Information Retrieval cs.CV

When AI Levels the Playing Field: Skill Homogenization, Asset Concentration, and Two Regimes of Inequality

arXiv Mar 5, 2026
Generative AI compresses within-task skill differences while shifting economic value toward concentrated complementary assets, creating an apparent paradox: the technology that equalizes individual performance may widen aggregate inequality. We forma... read more 
Machine Learning cs.AI

Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment

arXiv Mar 5, 2026
Cross-modal alignment is a crucial task in multimodal learning aimed at achieving semantic consistency between vision and language. This requires that image-text pairs exhibit similar semantics. Traditional algorithms pursue embedding consistency to ... read more 
Machine Learning cs.CL

Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data

arXiv Mar 5, 2026
Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-to-end machine learning pipeline to analyze transcriptomic data from p... read more 
Genomics cs.LG

Thinking with Spatial Code for Physical-World Video Reasoning

arXiv Mar 5, 2026
We introduce Thinking with Spatial Code, a framework that transforms RGB video into explicit, temporally coherent 3D representations for physical-world visual question answering. We highlight the empirical finding that our proposed spatial encoder ca... read more 
Computer Vision and Pattern Recognition

DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces

arXiv Mar 5, 2026
Computer-Aided Design (CAD) relies on structured and editable geometric representations, yet existing generative methods are constrained by small annotated datasets with explicit design histories or boundary representation (BRep) labels. Meanwhile, m... read more 
Computer Vision and Pattern Recognition cs.AI
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