Artificial Intelligence Medical Compendium

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

Showing 64,461 to 64,470 of 231,605 articles

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

arXiv
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 

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

arXiv
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 

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

arXiv
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 

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

arXiv
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 

Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation

arXiv
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 

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

arXiv
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 

AI Agents Need Memory Control Over More Context

arXiv
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 

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

arXiv
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 

Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores

arXiv
Real-time image segmentation is a key enabler for AR/VR, robotics, drones, and autonomous systems, where tight accuracy, latency, and energy budgets must be met on resource-constrained edge devices. While U-Net offers a favorable balance of accuracy ... read more 

LTV-YOLO: A Lightweight Thermal Object Detector for Young Pedestrians in Adverse Conditions

arXiv
Detecting vulnerable road users (VRUs), particularly children and adolescents, in low light and adverse weather conditions remains a critical challenge in computer vision, surveillance, and autonomous vehicle systems. This paper presents a purpose-bu... read more