Artificial Intelligence Medical Compendium

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

Showing 23,931 to 23,940 of 217,366 articles

A novel dataset of North-Eastern Indian coins for machine learning-based classification.

Data in brief May 1, 2026
Old coins made by hand in ancient times and the Middle Ages are difficult to categorize because they are important for understanding culture and history, and they have complicated designs. The recent breakthroughs in machine learning have demonstrate... read more 

The Year in Electrophysiology: Selected Highlights From 2025.

Journal of cardiothoracic and vascular anesthesia May 1, 2026
This special article represents the eighth installment in an annual Journal of Cardiothoracic and Vascular Anesthesia series highlighting key advances in cardiac electrophysiology relevant to cardiothoracic anesthesiologists. The authors extend their... read more 

Seeing Through Satellite Images at Street Views.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
This paper studies the task of SatStreet-view synthesis, which aims to render photorealistic street-view panorama images and videos given a satellite image and specified camera positions or trajectories. Our approach involves learning a satellite ima... read more 

Causal Inference via Style Bias Deconfounding for Domain Generalization.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
Deep neural networks (DNNs) often struggle with out-of-distribution data, limiting their reliability in real-world visual applications. To address this issue, domain generalization methods have been developed to learn domain-invariant features from s... read more 

HGNNv2: Stable Hypergraph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
Hypergraph neural networks (HGNNs) are widely used models for analyzing higher-order relational data. HGNNs suffer from the rapid performance degradation with increasing layers. Hypergraph dynamic system (HDS) is a potential way to deal with this cha... read more 

Human Motion Prediction via Continual Prior Compensation.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
Human Motion Prediction (HMP) aims to predict future human poses at different moments according to observed past motion sequences. Previous approaches mainly treated the prediction of different temporal moments as a single prediction task and learned... read more 

Incremental Online Learning of Randomized Neural Network With Forward Regularization.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
Online learning of deep neural networks faces challenges such as delayed non-incremental updating, increasing consumption, retrospective retraining, and catastrophic forgetting. To alleviate these drawbacks and achieve progressive immediate decision-... read more 

Accelerated Optimization of Large Mixture-of-Experts Models by Density-Aware Multi-Stage Learning.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
This article aims to speed up the training of large neural networks with the Mixture-of-Experts (MoE) structure. Training MoE often needs a lot of computing resources due to its large scale. Traditional acceleration methods either degrade prediction ... read more 

Model Lineage Analysis: Determination and Closeness Measurement.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
As model modification techniques are increasingly employed to obtain high-performing machine learning models at reduced costs, identifying lineage relationships-i.e., whether one model is derived from another-has garnered significant research interes... read more 

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey.

IEEE transactions on pattern analysis and machine intelligence May 1, 2026
As machine learning evolves, domain generalization (DG) and domain adaptation (DA) have become crucial for improving model robustness across diverse environments. Contrastive Language-Image Pretraining (CLIP) plays a central role in these tasks, offe... read more 
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