Artificial Intelligence Medical Compendium

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

Showing 21,481 to 21,490 of 216,348 articles

Graphlets as Building Blocks for Structural Vocabulary in Knowledge Graph Foundation Models

arXiv May 7, 2026
Foundation models excel at language, where sentences become tokens, and vision, where images become pixels, because both reduce to discrete symbols on a shared, fixed grid. Knowledge Graphs share the discreteness, but not the geometry. Their entities... read more 
Artificial Intelligence cs.LG

Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study

arXiv May 7, 2026
Continual learning (CL) is essential for deploying medical image segmentation models in clinical environments where imaging domains, anatomical targets, and diagnostic tasks evolve over time. However, continual segmentation still faces three main cha... read more 
Computer Vision and Pattern Recognition

DynT2I-Eval: A Dynamic Evaluation Framework for Text-to-Image Models

arXiv May 7, 2026
Existing text-to-image (T2I) benchmarks largely rely on fixed prompt sets, leaving them vulnerable to overfitting and benchmark contamination once publicly released and repeatedly reused. In this work, we propose DynT2I-Eval, a fully automated dynami... read more 
Computer Vision and Pattern Recognition

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation

arXiv May 7, 2026
Diabetic Retinopathy (DR) is a leading cause of preventable blindness among working-age adults worldwide, yet most automated screening systems are limited to image-level classification and lack clinically structured reporting. We propose Retina-RAG, ... read more 
Computer Vision and Pattern Recognition cs.AI

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation

arXiv May 7, 2026
Diabetic Retinopathy (DR) is a leading cause of preventable blindness among working-age adults worldwide, yet most automated screening systems are limited to image-level classification and lack clinically structured reporting. We propose Retina-RAG, ... read more 
Computer Vision and Pattern Recognition cs.AI

Bridging visual saliency and large language models for explainable deep learning in medical imaging

arXiv May 7, 2026
The opaque nature of deep learning models remains a significant barrier to their clinical adoption in medical imaging. This paper presents a multimodal explainability framework that bridges the gap between convolutional neural network (CNN) predictio... read more 
Computer Vision and Pattern Recognition cs.LG

Differentiable Adaptive 4D Structured Illumination for Joint Capture of Shape and Reflectance

arXiv May 7, 2026
We present a differentiable framework to adaptively compute 4D illumination conditions with respect to an object, for efficient, high-quality simultaneous acquisition of its shape and reflectance, with a unified spatial-angular structured light and a... read more 
Computer Vision and Pattern Recognition

Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant

arXiv May 7, 2026
Forward-Forward (FF) training allows each layer to learn from a local goodness criterion. In cumulative-goodness variants, however, later layers can inherit a task that earlier layers have already partially separated. We formalize this phenomenon as ... read more 
Machine Learning cs.AI

Can Attribution Predict Risk? From Multi-View Attribution to Planning Risk Signals in End-to-End Autonomous Driving

arXiv May 7, 2026
End-to-end autonomous driving models generate future trajectories from multi-view inputs, improving system integration but introducing opaque decisions and hard-to-localize risks. Existing methods either rely on auxiliary monitoring models or generat... read more 
Machine Learning

ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision

arXiv May 7, 2026
Curating fully annotated datasets for medical image segmentation is labour-intensive and expertise-demanding. To alleviate this problem, prior studies have explored scribble annotations for weakly supervised segmentation. Existing solutions mainly co... read more 
Computer Vision and Pattern Recognition
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