Artificial Intelligence Medical Compendium

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

Showing 42,111 to 42,120 of 223,853 articles

A delay-Adaptive neural network for querying TOP-k critical vertices on time-Dependent shortest paths.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2026
This study proposes a delay-adaptive neural network (DANN) for querying the TOP-k critical vertices (kCV) on time-dependent shortest paths. Traditional kCV queries are typically formulated on static networks with fixed edge weights, whereas real-worl... read more 

A data-mechanism integrated framework for elucidating the migration and attenuation of light non-aqueous phase liquids in the vadose zone.

Water research Mar 13, 2026
Elucidating key driving factors and the underlying mechanisms governing the complex subsurface fate of Light non-aqueous phase liquids (LNAPL) is essential for effective pollution characterization and remediation. Here, we develop the "data-mechanism... read more 

Incorporating critical assessment of emerging artificial intelligence tools into oral and maxillofacial pathology residency training.

Oral surgery, oral medicine, oral pathology and oral radiology Mar 13, 2026
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A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations.

Neurosurgery practice Mar 13, 2026
BACKGROUND AND OBJECTIVES: Traditional medical board examinations present clinical information in static vignettes with multiple-choices (MC), fundamentally different from how physicians gather and integrate data in practice. Recent advances in large... read more 

Preserving scientific integrity in academic publishing: Navigating artificial intelligence, journal policies, and the impact factor as a quality indicator.

Osteoarthritis and cartilage open Mar 13, 2026
UNLABELLED: The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific integrity. These trends threaten the core principles of objectivity, reproducibility, and ... read more 

Spatio-Semantic Expert Routing Architecture with Mixture-of-Experts for Referring Image Segmentation

arXiv Mar 13, 2026
Referring image segmentation aims to produce a pixel-level mask for the image region described by a natural-language expression. Although pretrained vision-language models have improved semantic grounding, many existing methods still rely on uniform ... read more 
Computer Vision and Pattern Recognition cs.AI

Spatial Reasoning is Not a Free Lunch: A Controlled Study on LLaVA

arXiv Mar 13, 2026
Vision-language models (VLMs) have advanced rapidly, yet they still struggle with basic spatial reasoning. Despite strong performance on general benchmarks, modern VLMs remain brittle at understanding 2D spatial relationships such as relative positio... read more 
Computer Vision and Pattern Recognition

Decoding Matters: Efficient Mamba-Based Decoder with Distribution-Aware Deep Supervision for Medical Image Segmentation

arXiv Mar 13, 2026
Deep learning has achieved remarkable success in medical image segmentation, often reaching expert-level accuracy in delineating tumors and tissues. However, most existing approaches remain task-specific, showing strong performance on individual data... read more 
Computer Vision and Pattern Recognition

CVGL: Causal Learning and Geometric Topology

arXiv Mar 13, 2026
Cross-view geo-localization (CVGL) aims to estimate the geographic location of a street image by matching it with a corresponding aerial image. This is critical for autonomous navigation and mapping in complex real-world scenarios. However, the task ... read more 
Computer Vision and Pattern Recognition

Scaling Laws and Pathologies of Single-Layer PINNs: Network Width and PDE Nonlinearity

arXiv Mar 13, 2026
We establish empirical scaling laws for Single-Layer Physics-Informed Neural Networks on canonical nonlinear PDEs. We identify a dual optimization failure: (i) a baseline pathology, where the solution error fails to decrease with network width, even ... read more 
Machine Learning math.NA physics.comp-ph
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