Artificial Intelligence Medical Compendium

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

Showing 64,161 to 64,170 of 231,309 articles

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research

arXiv Jan 15, 2026
Current progress in out-of-distribution (OOD) detection is limited by the lack of large, high-quality datasets with clearly defined OOD categories across varying difficulty levels (near- to far-OOD) that support both fine- and coarse-grained computer... read more 
Computer Vision and Pattern Recognition

SurfSLAM: Sim-to-Real Underwater Stereo Reconstruction For Real-Time SLAM

arXiv Jan 15, 2026
Localization and mapping are core perceptual capabilities for underwater robots. Stereo cameras provide a low-cost means of directly estimating metric depth to support these tasks. However, despite recent advances in stereo depth estimation on land, ... read more 
Robotics

Can Vision-Language Models Understand Construction Workers? An Exploratory Study

arXiv Jan 15, 2026
As robotics become increasingly integrated into construction workflows, their ability to interpret and respond to human behavior will be essential for enabling safe and effective collaboration. Vision-Language Models (VLMs) have emerged as a promisin... read more 
Computer Vision and Pattern Recognition cs.AI

SecMLOps: A Comprehensive Framework for Integrating Security Throughout the MLOps Lifecycle

arXiv Jan 15, 2026
Machine Learning (ML) has emerged as a pivotal technology in the operation of large and complex systems, driving advancements in fields such as autonomous vehicles, healthcare diagnostics, and financial fraud detection. Despite its benefits, the depl... read more 
Cryptography and Security cs.SE

AI-Guided Human-In-the-Loop Inverse Design of High Performance Engineering Structures

arXiv Jan 15, 2026
Inverse design tools such as Topology Optimization (TO) can achieve new levels of improvement for high-performance engineered structures. However, widespread use is hindered by high computational times and a black-box nature that inhibits user intera... read more 
Machine Learning

Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation

arXiv Jan 15, 2026
Promptable segmentation foundation models such as SAM3 have demonstrated strong generalization capabilities through interactive and concept-based prompting. However, their direct applicability to medical image segmentation remains limited by severe d... read more 
Computer Vision and Pattern Recognition cs.AI

Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation

arXiv Jan 15, 2026
Sustainability is becoming increasingly critical in the maritime transport, encompassing both environmental and social impacts, such as Greenhouse Gas (GHG) emissions and navigational safety. Traditional vessel navigation heavily relies on human expe... read more 
Machine Learning

Aesthetics as Structural Harm: Algorithmic Lookism Across Text-to-Image Generation and Classification

arXiv Jan 15, 2026
This paper examines algorithmic lookism-the systematic preferential treatment based on physical appearance-in text-to-image (T2I) generative AI and a downstream gender classification task. Through the analysis of 26,400 synthetic faces created with S... read more 
Computer Vision and Pattern Recognition cs.AI cs.CY

AI Agents Need Memory Control Over More Context

arXiv Jan 15, 2026
AI agents are increasingly used in long, multi-turn workflows in both research and enterprise settings. As interactions grow, agent behavior often degrades due to loss of constraint focus, error accumulation, and memory-induced drift. This problem is... read more 
Neurons and Cognition cs.LG cs.MA

PSSI-MaxST: An Efficient Pixel-Segment Similarity Index Using Intensity and Smoothness Features for Maximum Spanning Tree Based Segmentation

arXiv Jan 15, 2026
Interactive graph-based segmentation methods partition an image into foreground and background regions with the aid of user inputs. However, existing approaches often suffer from high computational costs, sensitivity to user interactions, and degrade... read more 
Computer Vision and Pattern Recognition
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