Artificial Intelligence Medical Compendium

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

Showing 19,341 to 19,350 of 214,800 articles

EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation

arXiv May 12, 2026
Recent text-to-image (T2I) generators can synthesize realistic images, but still struggle with compositional prompts involving multiple objects, counts, attributes, and relations. We introduce EPIC (Efficient Predicate-Guided Inference-Time Control),... read more 
Computer Vision and Pattern Recognition cs.LG

Allegory of the Cave: Measurement-Grounded Vision-Language Learning

arXiv May 12, 2026
Vision-language models typically reason over post-ISP RGB images, although RGB rendering can clip, suppress, or quantize sensor evidence before inference. We study whether grounding improves when the visual interface is moved closer to the underlying... read more 
Artificial Intelligence cs.CL cs.CV

BronchoLumen: Analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy

arXiv May 12, 2026
Bronchoscopy is routinely conducted in pulmonary clinics and intensive care units, but navigating the complex branching of the respiratory tract remains challenging. This paper introduces BronchoLumen, a real-time YOLO-based system for detecting bron... read more 
Computer Vision and Pattern Recognition

One-Step Generative Modeling via Wasserstein Gradient Flows

arXiv May 12, 2026
Diffusion models and flow-based methods have shown impressive generative capability, especially for images, but their sampling is expensive because it requires many iterative updates. We introduce W-Flow, a framework for training a generator that tra... read more 
Machine Learning cs.CV stat.ML

Focusable Monocular Depth Estimation

arXiv May 12, 2026
Monocular depth foundation models generalize well across scenes, yet they are typically optimized with uniform pixel-wise objectives that do not distinguish user-specified or task-relevant target regions from the surrounding context. We therefore int... read more 
Computer Vision and Pattern Recognition cs.AI

DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation

arXiv May 12, 2026
Unsupervised segmentation of pulmonary pathologies in CT remains an open challenge due to the absence of annotated multi pathology cohorts and the failure of existing diffusion-based methods to exploit the quantitative Hounsfield Unit (HU) signal tha... read more 
Image and Video Processing cs.CV

Decomposing the Generalization Gap in PROTAC Activity Prediction: Variance Attribution and the Inter-Laboratory Ceiling

arXiv May 12, 2026
Machine-learning predictors of biochemical activity often exhibit large random-split-to-leave-one-target-out generalisation gaps that have been documented but not decomposed. We frame this as an evaluation-science question and use targeted protein de... read more 
Machine Learning q-bio.BM

Revisiting Shadow Detection from a Vision-Language Perspective

arXiv May 12, 2026
Shadow detection is commonly formulated as a vision-driven dense prediction problem, where models rely primarily on pixel-wise visual supervision to distinguish shadows from non-shadow regions. However, this formulation can become unreliable in visua... read more 
Computer Vision and Pattern Recognition

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction

arXiv May 12, 2026
By processing electronic health records (EHRs) as natural language sequences, large language models (LLMs) have shown potential in clinical prediction tasks such as mortality prediction and phenotyping. However, longitudinal or highly frequent EHRs o... read more 
Computation and Language cs.LG

Urban Risk-Aware Navigation via VQA-Based Event Maps for People with Low Vision

arXiv May 12, 2026
Visual impairment affects hundreds of millions of people worldwide, severely limiting their ability to navigate urban environments safely and independently. While wearable assistive devices offer a promising platform for real-time hazard detection, e... read more 
Computer Vision and Pattern Recognition
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