Artificial Intelligence Medical Compendium

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

Showing 33,221 to 33,230 of 221,227 articles

Introducing Echo Networks for Computational Neuroevolution

arXiv Apr 9, 2026
For applications on the extreme edge, minimal networks of only a few dozen artificial neurons for event detection and classification in discrete time signals would be highly desirable. Feed-forward networks, RNNs, and CNNs evolved through evolutionar... read more 
Machine Learning cs.NE

SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection

arXiv Apr 9, 2026
Modern multimodal generators can now produce scientific figures at near-publishable quality, creating a new challenge for visual forensics and research integrity. Unlike conventional AI-generated natural images, scientific figures are structured, tex... read more 
Computer Vision and Pattern Recognition

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment

arXiv Apr 9, 2026
General-purpose vision-language models demonstrate strong performance in everyday domains but struggle with specialized technical fields requiring precise terminology, structured reasoning, and adherence to engineering standards. This work addresses ... read more 
Computer Vision and Pattern Recognition

EditCaption: Human-Aligned Instruction Synthesis for Image Editing via Supervised Fine-Tuning and Direct Preference Optimization

arXiv Apr 9, 2026
High-quality training triplets (source-target image pairs with precise editing instructions) are a critical bottleneck for scaling instruction-guided image editing models. Vision-language models (VLMs) are widely used for automated instruction synthe... read more 
Computer Vision and Pattern Recognition cs.AI

$\oslash$ Source Models Leak What They Shouldn't $\nrightarrow$: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization

arXiv Apr 9, 2026
The increasing adaptation of vision models across domains, such as satellite imagery and medical scans, has raised an emerging privacy risk: models may inadvertently retain and leak sensitive source-domain specific information in the target domain. T... read more 
Computer Vision and Pattern Recognition

DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection

arXiv Apr 9, 2026
The complex and dynamic real-world clinical environment demands reliable deep learning (DL) systems. Out-of-distribution (OOD) detection plays a critical role in enhancing the reliability and generalizability of DL models when encountering data that ... read more 
Computer Vision and Pattern Recognition cs.AI

Preventing Overfitting in Deep Image Prior for Hyperspectral Image Denoising

arXiv Apr 9, 2026
Deep image prior (DIP) is an unsupervised deep learning framework that has been successfully applied to a variety of inverse imaging problems. However, DIP-based methods are inherently prone to overfitting, which leads to performance degradation and ... read more 
Computer Vision and Pattern Recognition eess.IV

QARIMA: A Quantum Approach To Classical Time Series Analysis

arXiv Apr 9, 2026
We present a quantum-inspired ARIMA methodology that integrates quantum-assisted lag discovery with \emph{fixed-configuration} variational quantum circuits (VQCs) for parameter estimation and weak-lag refinement. Differencing and candidate lags are i... read more 
Quantum Physics cs.AI cs.LG

U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations

arXiv Apr 9, 2026
As AI models grow more complex, explainability is essential for building trust, yet concept-based counterfactual methods still face a trade-off between expressivity and efficiency. Representing underlying concepts as atomic sets is fast but misses re... read more 
Artificial Intelligence cs.CV

GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis

arXiv Apr 9, 2026
The performance of visual anomaly inspection in industrial quality control is often constrained by the scarcity of real anomalous samples. Consequently, anomaly synthesis techniques have been developed to enlarge training sets and enhance downstream ... read more 
Computer Vision and Pattern Recognition
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