Artificial Intelligence Medical Compendium

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

Showing 49,961 to 49,970 of 224,814 articles

It's a Matter of Time: Three Lessons on Long-Term Motion for Perception

arXiv Feb 16, 2026
Temporal information has long been considered to be essential for perception. While there is extensive research on the role of image information for perceptual tasks, the role of the temporal dimension remains less well understood: What can we learn ... read more 
Computer Vision and Pattern Recognition

Universal Algorithm-Implicit Learning

arXiv Feb 16, 2026
Current meta-learning methods are constrained to narrow task distributions with fixed feature and label spaces, limiting applicability. Moreover, the current meta-learning literature uses key terms like "universal" and "general-purpose" inconsistentl... read more 
Machine Learning cs.AI cs.CV

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture

arXiv Feb 16, 2026
The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes, and reasoning about occlusion at fine granularity. In contrast, recent generic object trackers are ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.MM cs.NE

VIPA: Visual Informative Part Attention for Referring Image Segmentation

arXiv Feb 16, 2026
Referring Image Segmentation (RIS) aims to segment a target object described by a natural language expression. Existing methods have evolved by leveraging the vision information into the language tokens. To more effectively exploit visual contexts fo... read more 
Computer Vision and Pattern Recognition cs.AI

Extending Multi-Source Bayesian Optimization With Causality Principles

arXiv Feb 16, 2026
Multi-Source Bayesian Optimization (MSBO) serves as a variant of the traditional Bayesian Optimization (BO) framework applicable to situations involving optimization of an objective black-box function over multiple information sources such as simulat... read more 
Machine Learning stat.ML

Integrating Affordances and Attention models for Short-Term Object Interaction Anticipation

arXiv Feb 16, 2026
Short Term object-interaction Anticipation consists in detecting the location of the next active objects, the noun and verb categories of the interaction, as well as the time to contact from the observation of egocentric video. This ability is fundam... read more 
Computer Vision and Pattern Recognition

Multi-dimensional Persistent Sheaf Laplacians for Image Analysis

arXiv Feb 16, 2026
We propose a multi-dimensional persistent sheaf Laplacian (MPSL) framework on simplicial complexes for image analysis. The proposed method is motivated by the strong sensitivity of commonly used dimensionality reduction techniques, such as principal ... read more 
Computer Vision and Pattern Recognition cs.LG

CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography

arXiv Feb 16, 2026
Artificial intelligence (AI) can automatically delineate lesions on computed tomography (CT) and generate radiology report content, yet progress is limited by the scarcity of publicly available CT datasets with lesion-level annotations. To bridge thi... read more 
Computer Vision and Pattern Recognition cs.AI

Web-Scale Multimodal Summarization using CLIP-Based Semantic Alignment

arXiv Feb 16, 2026
We introduce Web-Scale Multimodal Summarization, a lightweight framework for generating summaries by combining retrieved text and image data from web sources. Given a user-defined topic, the system performs parallel web, news, and image searches. Ret... read more 
Machine Learning cs.CV cs.ET cs.HC cs.NE

Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems

arXiv Feb 16, 2026
Task-specialized models form the backbone of agentic healthcare systems, enabling the agents to answer clinical queries across tasks such as disease diagnosis, localization, and report generation. Yet, for a given task, a single "best" model rarely e... read more 
Machine Learning cs.AI cs.CV cs.MA
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