Artificial Intelligence Medical Compendium

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

Showing 30,241 to 30,250 of 220,100 articles

Generative Modeling of Complex-Valued Brain MRI Data

arXiv Apr 16, 2026
Objective. Standard Magnetic Resonance Imaging (MRI) reconstruction pipelines discard phase information captured during acquisition, despite evidence that it encodes tissue properties relevant to tumor diagnosis. Current machine learning approaches i... read more 
Image and Video Processing cs.CV physics.med-ph

From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation

arXiv Apr 16, 2026
Grain-edge segmentation (GES) and lithology semantic segmentation (LSS) are two pivotal tasks for quantifying rock fabric and composition. However, these two tasks are often treated separately, and the segmentation quality is implausible albeit expen... read more 
Computer Vision and Pattern Recognition

Expert-Guided Class-Conditional Goodness-of-Fit Scores for Interpretable Classification with Informative Missingness: An Application to Seismic Monitoring

arXiv Apr 16, 2026
We study a classification problem with three key challenges: pervasive informative missingness, the integration of partial prior expert knowledge into the learning process, and the need for interpretable decision rules. We propose a framework that en... read more 
Machine Learning cs.LG stat.AP

Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration

arXiv Apr 16, 2026
Alzheimer's disease (AD) confirmation often relies on positron emission tomography (PET) or cerebrospinal fluid (CSF) analysis, which are costly and invasive. Consequently, structural MRI biomarkers such as cortical thickness (CT) are widely used for... read more 
Computer Vision and Pattern Recognition

Efficient Search of Implantable Adaptive Cells for Medical Image Segmentation

arXiv Apr 16, 2026
Purpose: Adaptive skip modules can improve medical image segmentation, but searching for them is computationally costly. Implantable Adaptive Cells (IACs) are compact NAS modules inserted into U-Net skip connections, reducing the search space compare... read more 
Computer Vision and Pattern Recognition cs.AI

MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry

arXiv Apr 16, 2026
Vision-Language Models (VLMs) have demonstrated significant potential in medical image analysis, yet their application in intraoral photography remains largely underexplored due to the lack of fine-grained, annotated datasets and comprehensive benchm... read more 
Computer Vision and Pattern Recognition cs.AI

Can LLMs Score Medical Diagnoses and Clinical Reasoning as well as Expert Panels?

arXiv Apr 16, 2026
Evaluating medical AI systems using expert clinician panels is costly and slow, motivating the use of large language models (LLMs) as alternative adjudicators. Here, we evaluate an LLM jury composed of three frontier AI models scoring 3333 diagnoses ... read more 
Machine Learning cs.AI

Can LLMs Score Medical Diagnoses and Clinical Reasoning as well as Expert Panels?

arXiv Apr 16, 2026
Evaluating medical AI systems using expert clinician panels is costly and slow, motivating the use of large language models (LLMs) as alternative adjudicators. Here, we evaluate an LLM jury composed of three frontier AI models scoring 3333 diagnoses ... read more 
Machine Learning cs.AI

Hybrid Latents -- Geometry-Appearance-Aware Surfel Splatting

arXiv Apr 16, 2026
We introduce a hybrid Gaussian-hash-grid radiance representation for reconstructing 2D Gaussian scene models from multi-view images. Similar to NeST splatting, our approach reduces the entanglement between geometry and appearance common in NeRF-based... read more 
Computer Vision and Pattern Recognition cs.GR

Hybrid Latents: Geometry-Appearance-Aware Surfel Splatting

arXiv Apr 16, 2026
We introduce a hybrid Gaussian-hash-grid radiance representation for reconstructing 2D Gaussian scene models from multi-view images. Similar to NeST splatting, our approach reduces the entanglement between geometry and appearance common in NeRF-based... read more 
Computer Vision and Pattern Recognition cs.GR
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