Artificial Intelligence Medical Compendium

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

Showing 36,071 to 36,080 of 223,137 articles

Token-Efficient Multimodal Reasoning via Image Prompt Packaging

arXiv Apr 2, 2026
Deploying large multimodal language models at scale is constrained by token-based inference costs, yet the cost-performance behavior of visual prompting strategies remains poorly characterized. We introduce Image Prompt Packaging (IPPg), a prompting ... read more 
Computer Vision and Pattern Recognition cs.AI

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors

arXiv Apr 2, 2026
Vision Language Models (VLMs) achieve impressive performance across a wide range of multimodal tasks. However, on some tasks that demand fine-grained visual perception, they often fail even when the required information is present in their internal r... read more 
Computer Vision and Pattern Recognition cs.CL

SEDGE: Structural Extrapolated Data Generation

arXiv Apr 2, 2026
This paper proposes a framework for Structural Extrapolated Data GEneration (SEDGE) based on suitable assumptions on the underlying data generating process. We provide conditions under which data satisfying new specifications can be generated reliabl... read more 
Machine Learning

Guideline2Graph: Profile-Aware Multimodal Parsing for Executable Clinical Decision Graphs

arXiv Apr 2, 2026
Clinical practice guidelines are long, multimodal documents whose branching recommendations are difficult to convert into executable clinical decision support (CDS), and one-shot parsing often breaks cross-page continuity. Recent LLM/VLM extractors a... read more 
Computer Vision and Pattern Recognition cs.LG

VERTIGO: Visual Preference Optimization for Cinematic Camera Trajectory Generation

arXiv Apr 2, 2026
Cinematic camera control relies on a tight feedback loop between director and cinematographer, where camera motion and framing are continuously reviewed and refined. Recent generative camera systems can produce diverse, text-conditioned trajectories,... read more 
Computer Vision and Pattern Recognition cs.AI

Managing Diabetic Retinopathy with Deep Learning: A Data Centric Overview

arXiv Apr 2, 2026
Diabetic Retinopathy (DR) is a serious microvascular complication of diabetes, and one of the leading causes of vision loss worldwide. Although automated detection and grading, with Deep Learning (DL), can reduce the burden on ophthalmologists, it is... read more 
Image and Video Processing cs.AI cs.CV

Photonic convolutional neural network with pre-trained in-situ training

arXiv Apr 2, 2026
Photonic computing is a computing paradigm which have great potential to overcome the energy bottlenecks of electronic von Neumann architecture. Throughput and power consumption are fundamental limitations of Complementary-metal-oxide-semiconductor (... read more 
Emerging Technologies cs.LG physics.optics

Environment-Aware Channel Prediction for Vehicular Communications: A Multimodal Visual Feature Fusion Framework

arXiv Apr 2, 2026
The deep integration of communication with intelligence and sensing, as a defining vision of 6G, renders environment-aware channel prediction a key enabling technology. As a representative 6G application, vehicular communications require accurate and... read more 
Computer Vision and Pattern Recognition cs.AI

annbatch unlocks terabyte-scale training of biological data in anndata

arXiv Apr 2, 2026
The scale of biological datasets now routinely exceeds system memory, making data access rather than model computation the primary bottleneck in training machine-learning models. This bottleneck is particularly acute in biology, where widely used com... read more 
Machine Learning q-bio.GN

Light-ResKAN: A Parameter-Sharing Lightweight KAN with Gram Polynomials for Efficient SAR Image Recognition

arXiv Apr 2, 2026
Synthetic Aperture Radar (SAR) image recognition is vital for disaster monitoring, military reconnaissance, and ocean observation. However, large SAR image sizes hinder deep learning deployment on resource-constrained edge devices, and existing light... read more 
Computer Vision and Pattern Recognition
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