Artificial Intelligence Medical Compendium

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

Showing 20,811 to 20,820 of 216,088 articles

Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks

arXiv May 11, 2026
Physics-informed neural networks (PINNs) train a single neural approximation by minimizing multiple physics- and data-derived losses, but the gradients of these losses often interfere and can stall optimization. Existing remedies typically treat this... read more 
Machine Learning

Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality

arXiv May 11, 2026
Artificial intelligence models are increasingly scaled to improve predictive accuracy, yet it remains unclear whether scale improves the quality of post-hoc explanations. We investigate this relationship by evaluating 11 computer vision models repres... read more 
Computer Vision and Pattern Recognition cs.AI

APEX: Audio Prototype EXplanations for Classification Tasks

arXiv May 11, 2026
Explainable AI (XAI) has achieved remarkable success in image classification, yet the audio domain lacks equally mature solutions. Current methods apply vision-based attribution techniques to spectrograms, overlooking fundamental differences between ... read more 
Sound cs.LG

MolSight: Molecular Property Prediction with Images

arXiv May 11, 2026
Every molecule ever synthesised can be drawn as a 2D skeletal diagram, yet in modern property prediction this universally available representation has received less focus in favour of molecular graphs, 3D conformers, or billion-parameter language mod... read more 
Computer Vision and Pattern Recognition cs.CL

Active-SAOOD: Active Sparsely Annotated Oriented Object Detection in Remote Sensing Images

arXiv May 11, 2026
Reducing the annotation cost of oriented object detection in remote sensing remains a major challenge. Recently, sparse annotation has gained attention for effectively reducing annotation redundancy in densely remote sensing scenes. However, (1) the ... read more 
Computer Vision and Pattern Recognition

Task-Agnostic Noisy Label Detection via Standardized Loss Aggregation

arXiv May 11, 2026
Noisy labels are common in large-scale medical imaging datasets due to inter-observer variability and ambiguous cases. We propose a statistically grounded and task-agnostic framework, Standardized Loss Aggregation (SLA), for detecting noisy labels at... read more 
Computer Vision and Pattern Recognition cs.AI

MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning

arXiv May 11, 2026
Robust urban autonomous driving requires reliable 3D scene understanding and stable decision-making under dense interactions. However, existing end-to-end models lack interpretability, while modular pipelines suffer from error propagation across brit... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

What Concepts Lie Within? Detecting and Suppressing Risky Content in Diffusion Transformers

arXiv May 11, 2026
The rise of text-to-image (T2I) models has increasingly raised concerns regarding the generation of risky content, such as sexual, violent, and copyright-protected images, highlighting the need for effective safeguards within the models themselves. A... read more 
Computer Vision and Pattern Recognition cs.CR

A Comparative Study of Machine Learning and Deep Learning for Out-of-Distribution Detection

arXiv May 11, 2026
Out-of-distribution (OOD) detection is essential for building reliable AI systems, as models that produce outputs for invalid inputs cannot be trusted. Although deep learning (DL) is often assumed to outperform traditional machine learning (ML), medi... read more 
Computer Vision and Pattern Recognition cs.AI

Developing a foundation model for high-resolution remote sensing data of the Netherlands

arXiv May 11, 2026
We develop a foundation model using 1.2m high resolution satellite images of the Netherlands. By combining a Convolutional Neural Network and a Vision Transformer, the model captures both low- and high-frequency landscape features, such as fine textu... read more 
Computer Vision and Pattern Recognition cs.AI
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