Artificial Intelligence Medical Compendium

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

Showing 4,301 to 4,310 of 174,001 articles

Geometric Deep Learning for the Rubik's Cube Group.

IEEE transactions on neural networks and learning systems
The Rubik's cube, a widely recognized combinatorial puzzle with an astronomically vast state space, has been the subject of various research experiments with neural networks used as heuristic estimators to navigate the state-space exploration. Howeve... read more 

Multidimensional assessment of sustainability and competitiveness in the ceramic tile and natural stone industries: a cross-country comparative study.

Scientific reports
Natural stone and ceramic tile industries are two of the leading competitors in the global building materials sector. This study employs a multidimensional and integrative framework to conduct a comprehensive comparative analysis of these strategic i... read more 

Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent

arXiv
We present Comp-X, the first intelligently interactive image compression paradigm empowered by the impressive reasoning capability of large language model (LLM) agent. Notably, commonly used image codecs usually suffer from limited coding modes and... read more 

High-throughput screening accelerated by machine learning for the morphology of silica nanoparticles with high cell permeability.

Nanoscale
In recent years, silica nanoparticles have garnered tremendous attention as drug-delivery carriers. However, the cell permeability of nanoparticles remains a major obstacle that limits the drug-delivery efficiency of drug carriers. It is a common pra... read more 

AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL

arXiv
Text-to-SQL systems translate natural language questions into SQL queries, providing substantial value for non-expert users. While large language models (LLMs) show promising results for this task, they remain error-prone. Query ambiguity has been ... read more 

DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology

arXiv
Accurate morphological quantification of renal pathology functional units relies on instance-level segmentation, yet most existing datasets and automated methods provide only binary (semantic) masks, limiting the precision of downstream analyses. A... read more 

TPA: Temporal Prompt Alignment for Fetal Congenital Heart Defect Classification

arXiv
Congenital heart defect (CHD) detection in ultrasound videos is hindered by image noise and probe positioning variability. While automated methods can reduce operator dependence, current machine learning approaches often neglect temporal informatio... read more 

Weakly-Supervised Learning for Tree Instances Segmentation in Airborne Lidar Point Clouds

arXiv
Tree instance segmentation of airborne laser scanning (ALS) data is of utmost importance for forest monitoring, but remains challenging due to variations in the data caused by factors such as sensor resolution, vegetation state at acquisition time,... read more 

Additive electronics manufacturing droplet jetting technologies: materials, methods, applications, and opportunities.

Nanoscale
Droplet jetting technologies offer a versatile, digital platform to fabricate functional devices from nanomaterial building blocks. Inkjet, aerosol jet, and electrohydrodynamic jet printing constitute three distinct technologies for precise patternin... read more 

BasketLiDAR: The First LiDAR-Camera Multimodal Dataset for Professional Basketball MOT

arXiv
Real-time 3D trajectory player tracking in sports plays a crucial role in tactical analysis, performance evaluation, and enhancing spectator experience. Traditional systems rely on multi-camera setups, but are constrained by the inherently two-dime... read more