Artificial Intelligence Medical Compendium

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

Showing 61,081 to 61,090 of 228,300 articles

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

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

arXiv Jan 15, 2026
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 
Computer Vision and Pattern Recognition cs.LG

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

arXiv Jan 15, 2026
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 
Computer Vision and Pattern Recognition

The Spatial Blindspot of Vision-Language Models

arXiv Jan 15, 2026
Vision-language models (VLMs) have advanced rapidly, but their ability to capture spatial relationships remains a blindspot. Current VLMs are typically built with contrastive language-image pretraining (CLIP) style image encoders. The training recipe... read more 
Computer Vision and Pattern Recognition

DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis

arXiv Jan 15, 2026
Parkinson's disease (PD) and Alzheimer's disease (AD) are the two most prevalent and incurable neurodegenerative diseases (NDs) worldwide, for which early diagnosis is critical to delay their progression. However, the high dimensionality of multi-met... read more 
Computer Vision and Pattern Recognition

SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations

arXiv Jan 15, 2026
Large Language Models (LLMs) are increasingly adopted in healthcare to support clinical decision-making, summarize electronic health records (EHRs), and enhance patient care. However, this integration introduces significant privacy and security chall... read more 
Cryptography and Security cs.LG
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