Artificial Intelligence Medical Compendium

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

Showing 36,851 to 36,860 of 223,469 articles

Energy-Efficient EEG-Based Autism Spectrum Disorder Detection Using a Hyperbolic Attention Neural Network.

Developmental neurobiology Apr 1, 2026
Long-term physiological monitoring using wearable wireless systems represents a paradigm change in next-generation e-health applications. Specifically, electroencephalography (EEG) represents a noninvasive and trustworthy way of recording brain activ... read more 

Channel Transformer-Based Generative Adversarial Network With Multi-Instance Attention and Nutcracker Optimization for Automatic Seizure Detection Using EEG.

Developmental neurobiology Apr 1, 2026
The current literature on automatic seizure detection based on EEG has obtained significant accuracy, but most of them still have difficulties in processing the highly non-linear, non-stationary, and patient-specific EEG signals. Models typically nee... read more 

Integration of transcriptomic data identifies CD163 as a key link between chronic rhinosinusitis with nasal polyps and COVID-19.

Rhinology Apr 1, 2026
BACKGROUND: Emerging evidence has highlighted a potential link between chronic rhinosinusitis with nasal polyps (CRSwNP) and coronavirus disease 2019 (COVID-19). However, the exact mechanism driving this association is not well understood. We aimed t... read more 

A Survey of Behavior Foundation Model: Next-Generation Whole-Body Control System of Humanoid Robots.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Humanoid robots are drawing significant attention as versatile platforms for complex motor control, human-robot interaction, and general-purpose physical intelligence. However, achieving efficient whole-body control (WBC) in humanoids remains a funda... read more 

Robust Semi-Supervised Feature Selection With Multi-Granularity Zentropy Modeling.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
High-dimensional and weakly supervised (HiDWS) data present significant challenges for traditional machine learning and pattern recognition. Although semi-supervised feature selection has shown effectiveness in improving the quality of HiDWS data, ex... read more 

HGNN Shield: Defending Hypergraph Neural Networks Against High-Order Structure Attack.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Hypergraph Neural Networks (HGNNs) are crucial in modeling complex high-order correlations in diverse domains, utilizing hyperedges that connect multiple vertices. However, their susceptibility to structural attacks and irrational connections can dis... read more 

Language Embedded 3D Gaussians for Open-Vocabulary Scene Querying.

IEEE transactions on pattern analysis and machine intelligence Apr 1, 2026
Open-vocabulary querying in 3D space is challenging but essential for scene understanding tasks such as object localization and segmentation. Language embedded scene representations have made progress by incorporating language features into 3D spaces... read more 

FDCSNPS: A Fast Division Calculation SNP System.

IEEE transactions on nanobioscience Apr 1, 2026
Spiking Neural P system (SNP system) is a distributed parallel computing model inspired by the information processing of biological neurons. The SNP system has emerged as a research hotspots in the field of membrane computing, being utilized to tackl... read more 

The Impact of AI-Based Educational Applications on University Students' Piano Skills and Self-Efficacy.

International journal of psychology : Journal international de psychologie Apr 1, 2026
The incorporation of AI-powered applications into music education is becoming increasingly important, as these tools can extend practice support beyond the session and provide rapid performance feedback. The current study investigated whether an app-... read more 

Artificial Intelligence in Drug Discovery: Integrative Advances From Data to Therapeutic Innovation.

Drug development research Apr 1, 2026
Integrating artificial intelligence (AI) into drug discovery revolutionizes pharmaceutical research by significantly accelerating the identification, optimization, and development of novel therapeutics. Conventional drug discovery methods, known for ... read more 
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