Artificial Intelligence Medical Compendium

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

Showing 14,421 to 14,430 of 211,815 articles

Remember to be Curious: Episodic Context and Persistent Worlds for 3D Exploration

arXiv May 21, 2026
Exploration is a prerequisite for learning useful behaviors in sparse-reward, long-horizon tasks, particularly within 3D environments. Curiosity-driven reinforcement learning addresses this via intrinsic rewards derived from the mismatch between the ... read more 
Machine Learning

MotiMotion: Motion-Controlled Video Generation with Visual Reasoning

arXiv May 21, 2026
Current motion-controlled image-to-video generation models rigidly follow user-provided trajectories that are often sparse, imprecise, and causally incomplete. Such reliance often yields unnatural or implausible outcomes, especially by missing second... read more 
Computer Vision and Pattern Recognition

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs

arXiv May 21, 2026
Video Large Language Models (Video-LLMs) have made rapid progress on temporal video understanding, yet many fail at a basic perceptual primitive: signed image-plane motion direction. On simple videos of a single object moving left, right, up, or down... read more 
Computer Vision and Pattern Recognition

Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding

arXiv May 21, 2026
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general video understanding, their capacity to interpret involuntary, and spatio-temporally evolving pathologic motor behaviors such as seizure semiology remai... read more 
Computer Vision and Pattern Recognition

Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models

arXiv May 21, 2026
Multi-modality medical vision (MV) foundation models (FM) are fundamentally challenged by pronounced Non-IID feature statistics across heterogeneous imaging modalities. Monolithic self-supervised optimization on such data induces conflicting gradient... read more 
Computer Vision and Pattern Recognition cs.AI

Thermo-VL: Extending Vision-Language Models to Thermal Infrared Perception

arXiv May 21, 2026
Vision-language models (VLMs) often fail under low illumination because their visual grounding is learned predominantly from RGB imagery, whereas thermal infrared preserves complementary scene structure when visible cues degrade. We present Thermo-VL... read more 
Computer Vision and Pattern Recognition

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining

arXiv May 21, 2026
Computed tomography (CT) is a central to three-dimensional medical imaging, yet CT-based artificial intelligence remains fragmented across task-specific models for segmentation, classification, registration, and report analysis. Here we present Flexi... read more 
Computer Vision and Pattern Recognition

Guided Trajectory Optimization with Sparse Scaling for Test-Time Diffusion

arXiv May 21, 2026
The efficient Test-Time Scaling (TTS) paradigm offers a promising perspective for enhancing the generation performance of diffusion models. However, current solutions are limited to a static, pre-defined noise pool and suffer from inflexible noise ex... read more 
Computer Vision and Pattern Recognition

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
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