Artificial Intelligence Medical Compendium

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

Showing 16,161 to 16,170 of 213,568 articles

Noise Schedule Design for Diffusion Models: An Optimal Control Perspective

arXiv May 21, 2026
We develop a principled framework for analyzing and designing noise schedules in diffusion models. We show that one can recast this design problem as an optimal control problem, whose state is the Fisher information of the diffusion process which evo... read more 
Machine Learning

Multi-scale interaction network for stereo image super-resolution

arXiv May 21, 2026
Stereo image super-resolution aims to generate high-resolution images by leveraging complementary information from binocular systems. Although previous studies have achieved impressive results, the potential of intra-view and cross-view information h... read more 
Computer Vision and Pattern Recognition

EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models

arXiv May 21, 2026
Recent Video Large Language Models (Video-LLMs) have demonstrated strong capabilities in video reasoning through reinforcement learning (RL). However, existing RL pipelines rely heavily on human-annotated tasks and solutions, making them costly to sc... read more 
Computer Vision and Pattern Recognition

ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data

arXiv May 21, 2026
Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under specified interventions -- is central to chronic-disease care, yet existing electronic health record (EHR) models are predominantly discriminative, and... read more 
Machine Learning cs.AI

Dual-Integrated Low-Latency Single-Lens Infrared Computational Imaging for Object Detection

arXiv May 21, 2026
Computational imaging enables compact infrared systems, but deep-learning pipelines that combine image reconstruction and object detection often introduce substantial inference latency. Most existing acceleration strategies compress the reconstructio... read more 
Computer Vision and Pattern Recognition physics.optics

Entropy-Guided Self-Supervised Learning for Medical Image Classification

arXiv May 21, 2026
Accurate and robust medical image classification is paramount for early disease diagnosis and treatment planning. However, challenges such as limited annotated data, high intra-class variability, and subtle inter-class differences often hinder the pe... read more 
Image and Video Processing cs.CV

Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection

arXiv May 21, 2026
AI-generated content (AIGC) is rapidly improving, creating an urgent need for detectors that generalize across data sources, deployment pipelines, and visual modalities. A strongly generalizable detector should remain robust under distributional vari... read more 
Computer Vision and Pattern Recognition cs.AI

RiT: Vanilla Diffusion Transformers Suffice in Representation Space

arXiv May 21, 2026
Flow matching with $x$-prediction -- regressing the clean data point rather than the ambient velocity -- is known to exploit low-dimensional manifold structure effectively in pixel space \cite{li2025back}. We ask whether a pretrained representation s... read more 
Computer Vision and Pattern Recognition

Ex-GraphRAG: Interpretable Evidence Routing for Graph-Augmented LLMs

arXiv May 21, 2026
GraphRAG conditions language models on subgraphs retrieved from knowledge graphs, encoded via message-passing GNNs. Because these encoders entangle node contributions through iterated neighborhood aggregation, there is no closed-form way to determine... read more 
Machine Learning cs.AI

Toward Understanding Adversarial Distillation: Why Robust Teachers Fail

arXiv May 21, 2026
Adversarial Distillation aims to enhance student robustness by guiding the student with a robust teacher's soft labels within the min-max adversarial training framework, yet its success is notoriously inconsistent: a more robust teacher often fails t... read more 
Machine Learning
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