Artificial Intelligence Medical Compendium

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

Showing 42,961 to 42,970 of 223,853 articles

GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation

arXiv Mar 10, 2026
There is growing interest in applying graph-based methods to Time Series Anomaly Detection (TSAD), particularly Graph Neural Networks (GNNs), as they naturally model dependencies among multivariate signals. GNNs are typically used as backbones in sco... read more 
Machine Learning cs.AI

Improving 3D Foot Motion Reconstruction in Markerless Monocular Human Motion Capture

arXiv Mar 10, 2026
State-of-the-art methods can recover accurate overall 3D human body motion from in-the-wild videos. However, they often fail to capture fine-grained articulations, especially in the feet, which are critical for applications such as gait analysis and ... read more 
Computer Vision and Pattern Recognition

Automatic Cardiac Risk Management Classification using large-context Electronic Patients Health Records

arXiv Mar 10, 2026
To overcome the limitations of manual administrative coding in geriatric Cardiovascular Risk Management, this study introduces an automated classification framework leveraging unstructured Electronic Health Records (EHRs). Using a dataset of 3,482 pa... read more 
Computation and Language cs.AI cs.IR

AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering

arXiv Mar 10, 2026
Visual Question Answering (VQA) is a fundamental multimodal task that requires models to jointly understand visual and textual information. Early VQA systems relied heavily on language biases, motivating subsequent work to emphasize visual grounding ... read more 
Computer Vision and Pattern Recognition cs.AI

AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering

arXiv Mar 10, 2026
Visual Question Answering (VQA) is a fundamental multimodal task that requires models to jointly understand visual and textual information. Early VQA systems relied heavily on language biases, motivating subsequent work to emphasize visual grounding ... read more 
Computer Vision and Pattern Recognition cs.AI

TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR

arXiv Mar 10, 2026
Multimodal medical image fusion facilitates comprehensive diagnosis by aggregating complementary structural and functional information, but its effectiveness is limited by resolution degradation and modality discrepancies. Existing approaches typical... read more 
Computer Vision and Pattern Recognition

EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning

arXiv Mar 10, 2026
Multimodal large language models (MLLMs) are increasingly considered as a foundation for embodied agents, yet it remains unclear whether they can reliably reason about the long-term physical consequences of actions from an egocentric viewpoint. We st... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

arXiv Mar 10, 2026
Fetal ultrasound (US) is the primary imaging modality for prenatal screening, yet its interpretation relies heavily on the expertise of the clinician. Despite advances in deep learning and foundation models, existing automated tools for fetal US anal... read more 
Computer Vision and Pattern Recognition cs.MA

LogoDiffuser: Training-Free Multilingual Logo Generation and Stylization via Letter-Aware Attention Control

arXiv Mar 10, 2026
Recent advances in text-to-image generation have been remarkable, but generating multilingual design logos that harmoniously integrate visual and textual elements remains a challenging task. Existing methods often distort character geometry when appl... read more 
Computer Vision and Pattern Recognition

Ego: Embedding-Guided Personalization of Vision-Language Models

arXiv Mar 10, 2026
AI assistants that support humans in daily life are becoming increasingly feasible, driven by the rapid advancements in multimodal language models. A key challenge lies in overcoming the generic nature of these models to deliver personalized experien... read more 
Computer Vision and Pattern Recognition cs.AI
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