Artificial Intelligence Medical Compendium

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

Showing 30,561 to 30,570 of 220,100 articles

Context Sensitivity Improves Human-Machine Visual Alignment

arXiv Apr 15, 2026
Modern machine learning models typically represent inputs as fixed points in a high-dimensional embedding space. While this approach has been proven powerful for a wide range of downstream tasks, it fundamentally differs from the way humans process i... read more 
Computer Vision and Pattern Recognition cs.LG

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias

arXiv Apr 15, 2026
We present SparseGen, a novel framework for efficient image-to-3D generation, which exhibits low input-view bias while being significantly faster. Unlike traditional approaches that rely on dense volumetric grids, triplanes, or pixel-aligned primitiv... read more 
Computer Vision and Pattern Recognition

ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection

arXiv Apr 15, 2026
Time-series anomaly detection (TSAD) is critical in domains such as industrial monitoring, healthcare, and cybersecurity, but it remains challenging due to rare and heterogeneous anomalies and the scarcity of labelled data. This scarcity makes unsupe... read more 
Machine Learning cs.AI cs.CV

ASTRA: Enhancing Multi-Subject Generation with Retrieval-Augmented Pose Guidance and Disentangled Position Embedding

arXiv Apr 15, 2026
Subject-driven image generation has shown great success in creating personalized content, but its capabilities are largely confined to single subjects in common poses. Current approaches face a fundamental conflict when handling multiple subjects wit... read more 
Computer Vision and Pattern Recognition

A Multi-Stage Optimization Pipeline for Bethesda Cell Detection in Pap Smear Cytology

arXiv Apr 15, 2026
Computer vision techniques have advanced significantly in recent years, finding diverse and impactful applications within the medical field. In this paper, we introduce a new framework for the detection of Bethesda cells in Pap smear images, develope... read more 
Computer Vision and Pattern Recognition

SceneGlue: Scene-Aware Transformer for Feature Matching without Scene-Level Annotation

arXiv Apr 15, 2026
Local feature matching plays a critical role in understanding the correspondence between cross-view images. However, traditional methods are constrained by the inherent local nature of feature descriptors, limiting their ability to capture non-local ... read more 
Computer Vision and Pattern Recognition

Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection

arXiv Apr 15, 2026
We present lightweight and efficient architectures to detect weather conditions from RGB images, predicting the weather type (sunny, rain, snow, fog) and 11 complementary attributes such as intensity, visibility, and ground condition, for a total of ... read more 
Computer Vision and Pattern Recognition

Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors

arXiv Apr 15, 2026
This study evaluates colorectal risk factors and compares classical models against Quantum Neural Networks (QNNs) for anastomotic leak prediction. Analyzing clinical data with 14\% leak prevalence, we tested ZZFeatureMap encodings with RealAmplitudes... read more 
Machine Learning quant-ph

HINTBench: Horizon-agent Intrinsic Non-attack Trajectory Benchmark

arXiv Apr 15, 2026
Existing agent-safety evaluation has focused mainly on externally induced risks. Yet agents may still enter unsafe trajectories under benign conditions. We study this complementary but underexplored setting through the lens of \emph{intrinsic} risk, ... read more 
Machine Learning cs.AI

Creo: From One-Shot Image Generation to Progressive, Co-Creative Ideation

arXiv Apr 15, 2026
Text-to-image (T2I) systems enable rapid generation of high-fidelity imagery but are misaligned with how visual ideas develop. T2I systems generate outputs that make implicit visual decisions on behalf of the user, often introduce fine-grained detail... read more 
Human-Computer Interaction cs.AI cs.CV
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