Artificial Intelligence Medical Compendium

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

Showing 39,311 to 39,320 of 223,737 articles

ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding

arXiv Mar 24, 2026
Electronic Navigational Charts (ENCs) are the safety-critical backbone of modern maritime navigation, yet it remains unclear whether multimodal large language models (MLLMs) can reliably interpret them. Unlike natural images or conventional charts, E... read more 
Computer Vision and Pattern Recognition

From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery

arXiv Mar 24, 2026
Rapid and accurate structural damage assessment following natural disasters is critical for effective emergency response and recovery. However, remote sensing imagery often suffers from low spatial resolution, contextual ambiguity, and limited semant... read more 
Computer Vision and Pattern Recognition

Viewport-based Neural 360° Image Compression

arXiv Mar 24, 2026
Given the popularity of 360° images on social media platforms, 360° image compression becomes a critical technology for media storage and transmission. Conventional 360° image compression pipeline projects the spherical image into a single 2D plane, ... read more 
Image and Video Processing cs.CV

It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal

arXiv Mar 24, 2026
Flicker artifacts, arising from unstable illumination and row-wise exposure inconsistencies, pose a significant challenge in short-exposure photography, severely degrading image quality. Unlike typical artifacts, e.g., noise and low-light, flicker is... read more 
Computer Vision and Pattern Recognition

PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

arXiv Mar 24, 2026
Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language commands and geometric control. We introduce PhotoAgent, an agent that achieves this by integrating Large Multimodal Models (LMMs) reasoning ... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding

arXiv Mar 24, 2026
Large Vision-Language Models (LVLMs) have shown strong performance across various multimodal tasks by leveraging the reasoning capabilities of Large Language Models (LLMs). However, processing visually complex and information-rich images, such as inf... read more 
Computer Vision and Pattern Recognition cs.AI

When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning

arXiv Mar 24, 2026
Language models increasingly "show their work" by writing step-by-step reasoning before answering. But are these reasoning steps genuinely used, or decorative narratives generated after the model has already decided? Consider: a medical AI writes "Th... read more 
Computation and Language cs.AI cs.LG

Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference

arXiv Mar 24, 2026
While spatial transcriptomics (ST) has advanced our understanding of gene expression in tissue context, its high experimental cost limits its large-scale application. Predicting ST from pathology images is a promising, cost-effective alternative, but... read more 
Computer Vision and Pattern Recognition

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection

arXiv Mar 24, 2026
Unsupervised anomaly detection plays a pivotal role in industrial defect inspection and medical image analysis, with most methods relying on the reconstruction framework. However, these methods may suffer from over-generalization, enabling them to re... read more 
Computer Vision and Pattern Recognition cs.AI

L-UNet: An LSTM Network for Remote Sensing Image Change Detection

arXiv Mar 24, 2026
Change detection of high-resolution remote sensing images is an important task in earth observation and was extensively investigated. Recently, deep learning has shown to be very successful in plenty of remote sensing tasks. The current deep learning... read more 
Image and Video Processing cs.CV
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