Artificial Intelligence Medical Compendium

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

Showing 19,301 to 19,310 of 214,800 articles

PresentAgent-2: Towards Generalist Multimodal Presentation Agents

arXiv May 12, 2026
Presentation generation is moving beyond static slide creation toward end-to-end presentation video generation with research grounding, multimodal media, and interactive delivery. We introduce PresentAgent-2, an agentic framework for generating prese... read more 
Computer Vision and Pattern Recognition cs.CL

LPDP: Inference-Time Reward Control for Variable-Length DNA Generation with Edit Flows

arXiv May 12, 2026
We study the application of recent Edit Flows for inference-time reward control for DNA sequence generation. Unlike most reward-guided DNA generation frameworks, which operate on fixed-length sequence spaces, Edit Flows have a potential to generate v... read more 
Machine Learning cs.AI q-bio.GN

TRACE: Temporal Routing with Autoregressive Cross-channel Experts for EEG Representation Learning

arXiv May 12, 2026
Learning transferable representations for electroencephalography (EEG) remains challenging because EEG signals are inherently multi-channel and non-stationary. Channels observed at the same time provide coupled measurements of neural activity, while ... read more 
Machine Learning cs.AI

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels

arXiv May 12, 2026
In large-scale visual recognition and data mining tasks, the presence of noisy labels severely undermines the generalization capability of deep neural networks (DNNs). Prevalent sample selection methods rely primarily on training loss or prediction c... read more 
Computer Vision and Pattern Recognition

20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone

arXiv May 12, 2026
Data curation has shifted the quality-compute frontier for language-model and contrastive image-text pretraining, but its role for vision-language models (VLMs) is far less established. We ask how far data curation alone can take VLM performance, hol... read more 
Machine Learning

MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification

arXiv May 12, 2026
Tabular data forms the backbone of high-stakes decision systems in finance, healthcare, and beyond. Yet industrial tabular datasets are inherently difficult: high-dimensional, riddled with missing entries, and rarely labeled at scale. While foundatio... read more 
Machine Learning cs.AI cs.CL

VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors

arXiv May 12, 2026
Gaussian Splatting has achieved remarkable progress in multi-view surface reconstruction, yet it exhibits notable degradation when only few views are available. Although recent efforts alleviate this issue by enhancing multi-view consistency to produ... read more 
Computer Vision and Pattern Recognition

PD-4DGS:Progressive Decomposition of 4D Gaussian Splatting for Bandwidth-Adaptive Dynamic Scene Streaming

arXiv May 12, 2026
4D Gaussian Splatting (4DGS) enables high-quality dynamic novel view synthesis, yet current models remain monolithic bitstreams that clients must download in full before any frame can be rendered, causing black-screen waits of tens to hundreds of sec... read more 
Computer Vision and Pattern Recognition

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning

arXiv May 12, 2026
Diabetic Retinopathy (DR) is an art and science of recording and classifying the retinal images of a diabetic patient. DR classification deals with classifying retinal fundus image into five stages on the basis of severity of diabetes. One of the maj... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

ZeroIDIR: Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion Models

arXiv May 12, 2026
In this paper, we propose a zero-reference diffusion-based framework, named ZeroIDIR, for illumination degradation image restoration, which decouples the restoration process into adaptive illumination correction and diffusion-based reconstruction whi... read more 
Computer Vision and Pattern Recognition
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