Artificial Intelligence Medical Compendium

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

Showing 57,801 to 57,810 of 227,388 articles

AMGFormer: Adaptive Multi-Granular Transformer for Brain Tumor Segmentation with Missing Modalities

arXiv Jan 27, 2026
Multimodal MRI is essential for brain tumor segmentation, yet missing modalities in clinical practice cause existing methods to exhibit >40% performance variance across modality combinations, rendering them clinically unreliable. We propose AMGFormer... read more 
Image and Video Processing cs.CV

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation

arXiv Jan 27, 2026
Uncertainty in medical image segmentation is inherently non-uniform, with boundary regions exhibiting substantially higher ambiguity than interior areas. Conventional training treats all pixels equally, leading to unstable optimization during early e... read more 
Computer Vision and Pattern Recognition

Establishing dermatopathology encyclopedia DermpathNet with Artificial Intelligence-Based Workflow

arXiv Jan 27, 2026
Accessing high-quality, open-access dermatopathology image datasets for learning and cross-referencing is a common challenge for clinicians and dermatopathology trainees. To establish a comprehensive open-access dermatopathology dataset for education... read more 
Computer Vision and Pattern Recognition

Tri-Reader: An Open-Access, Multi-Stage AI Pipeline for First-Pass Lung Nodule Annotation in Screening CT

arXiv Jan 27, 2026
Using multiple open-access models trained on public datasets, we developed Tri-Reader, a comprehensive, freely available pipeline that integrates lung segmentation, nodule detection, and malignancy classification into a unified tri-stage workflow. Th... read more 
Computer Vision and Pattern Recognition cs.AI

Learned split-spectrum metalens for obstruction-free broadband imaging in the visible

arXiv Jan 27, 2026
Obstructions such as raindrops, fences, or dust degrade captured images, especially when mechanical cleaning is infeasible. Conventional solutions to obstructions rely on a bulky compound optics array or computational inpainting, which compromise com... read more 
Optics cs.AI cs.CV physics.app-ph

Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection

arXiv Jan 27, 2026
Current AI-Generated Image (AIGI) detection approaches predominantly rely on binary classification to distinguish real from synthetic images, often lacking interpretable or convincing evidence to substantiate their decisions. This limitation stems fr... read more 
Computer Vision and Pattern Recognition

RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming

arXiv Jan 27, 2026
Generating immersive 3D scenes from texts is a core task in computer vision, crucial for applications in virtual reality and game development. Despite the promise of leveraging 2D diffusion priors, existing methods suffer from spatial blindness and r... read more 
Computer Vision and Pattern Recognition

DSTCS: Dual-Student Teacher Framework with Segment Anything Model for Semi-Supervised Pubic Symphysis Fetal Head Segmentation

arXiv Jan 27, 2026
Segmentation of the pubic symphysis and fetal head (PSFH) is a critical procedure in intrapartum monitoring and is essential for evaluating labor progression and identifying potential delivery complications. However, achieving accurate segmentation r... read more 
Computer Vision and Pattern Recognition

From Internal Diagnosis to External Auditing: A VLM-Driven Paradigm for Online Test-Time Backdoor Defense

arXiv Jan 27, 2026
Deep Neural Networks remain inherently vulnerable to backdoor attacks. Traditional test-time defenses largely operate under the paradigm of internal diagnosis methods like model repairing or input robustness, yet these approaches are often fragile un... read more 
Machine Learning cs.CR

Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach

arXiv Jan 27, 2026
Injury occurrence in football poses significant challenges for athletes and teams, carrying personal, competitive, and financial consequences. While machine learning has been applied to injury prediction before, existing approaches often rely on stat... read more 
Machine Learning cs.AI
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