Artificial Intelligence Medical Compendium

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

Showing 52,061 to 52,070 of 225,279 articles

Select then fusion: An effective multi-atlas brain network analysis method with sparse and uncertain mechanism.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Multi-atlas brain networks offer a more comprehensive and intricate understanding than a single atlas in identifying brain disorders. Traditional multi-atlas analysis methods depend on some simple fusion methods (i.e., addition and concatenation) but... read more 

Mechanistic investigation and data-driven correction of lipemic interference in hematological parameters on the Mindray BC-6800 hematology analyzer.

Practical laboratory medicine Feb 10, 2026
OBJECTIVES: This study aimed to systematically investigate the interference of lipemia on the Mindray BC-6800 hematology analyzer, elucidate the underlying mechanisms via optical signal analysis, and develop data-driven strategies for its recognition... read more 

Quality-label-free fetal brain MRI quality control based on image orientation recognition uncertainty.

Medical image analysis Feb 10, 2026
Quality control (QC) in fetal MRI is essential for efficient, high-quality data acquisition and analysis aimed at assessing fetal brain development and detecting abnormalities. Supervised deep learning methods require numerous image-quality labels an... read more 

A noise robust and distribution-adaptive framework for multivariate time series anomaly detection.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Existing unsupervised anomaly detection methods for multivariate time series(MTS) have demonstrated advanced performance on numerous public datasets. However, these methods exhibit two critical limitations: (1) the assumption of completely noise-free... read more 

TransUTD: Underwater cross-domain collaborative spatial-temporal transformer detector.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Research on underwater object detection has primarily focused on addressing degraded imagery. Single-frame feature refinement is inherently limited by restricted static spatial information, while joint image enhancement and detection paradigms encoun... read more 

Reactive silver ink-derived SERS-active nanofiber platform enabling machine learning-assisted sensitive amino acid detection.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 10, 2026
Surface-Enhanced Raman Spectroscopy (SERS) has long been a recognized method for the rapid and sensitive detection of low concentrations of analytes. Nevertheless, challenges still exist in the fabrication of practical, effective SERS substrates and ... read more 

Focus-guided feature fusion network for lightweight image super-resolution.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Single image super-resolution (SISR) has long faced the critical challenge of balancing model complexity and reconstruction accuracy. Existing research primarily focuses on lightweight network design, which reduces computational costs to some extent ... read more 

State-wise linear modulation (SLim): A novel approach for steering large language models.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
The new decade breakthrough Large Language Models (LLMs), trained on extensive text corpora, have achieved remarkable advancements in NLP, demonstrating sophisticated language comprehension and text generation capabilities. However, for effective hum... read more 

TriFTM-Net: Tri-Path Fourier-Temporal Modulation Network for macular edema pathology segmentation and reconstruction in high-precision intraoperative navigation.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Ophthalmic diseases such significantly impair the vision of numerous individuals globally. Accurate and real-time 3D reconstruction of macular edema and retinal tears is crucial for improving surgical efficiency and success rates. However, lesion are... read more 

Deep Softtriple hashing for Multi-Label cross-modal retrieval.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2026
Hashing techniques are widely adopted in large-scale retrieval due to their low time and space complexity. Existing deep cross-modal hashing methods mostly rely on mini-batch training, where only a limited number of samples are processed in each iter... read more 
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