Artificial Intelligence Medical Compendium

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

Showing 65,511 to 65,520 of 231,904 articles

Latest research

SiQDs and [Ru(bpy)2(phen-NH2)]2+ based ratiometric fluorescence probe for point-of-care testing of 6PPD-quinone with 3D-printing portable devices.

Analytica chimica acta Jan 7, 2026
BACKGROUND: N-phenyl-N'-(1,3-dimethylbutyl)-p-phenylenediamine-quinone (6PPD-Q), an emerging pollutant, is a highly toxic chemical derived from tires, which have possible adverse effects on human health via the food chain. Despite the widespread occu... read more 

Kernelized linear principal component discriminant analysis.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2026
In this paper, we propose Kernelized Linear Principal Component Discriminant Analysis (KLPCDA), a structured and unified framework for discriminant analysis that overcomes the fragmentation in existing multi-stage approaches such as PCA+LDA or KPCA+G... read more 

Inferring high-fat dietary patterns from electronic health record data using machine learning.

JAMIA open Jan 7, 2026
OBJECTIVES: Electronic health records (EHRs) rarely capture dietary detail, limiting diet-disease research. We aimed to develop machine learning (ML) computable phenotypes to identify high-fat diet (HFD) using variables typically available in EHRs. M... read more 

Capability of chatbots powered by large language models to support the screening process of scoping reviews: a feasibility study.

JAMIA open Jan 7, 2026
OBJECTIVES: The surge in publications increases screening time required to maintain high-quality literature reviews. One of the most time-consuming phases is title and abstract screening. Machine learning tools have semi-automated this process for sy... read more 

NeuroAdaptive multi-resolution integration network for decoding cognitive complexity levels in EEG-based pronoun resolution tasks.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2026
Pronoun resolution represents a fundamental language comprehension process that varies in cognitive complexity. Prior studies have identified behavioral and neural differences in pronoun processing, but existing models struggle to address background ... read more 

A memristive fuzzy neural network with applications to classification task: A programmable circuit system.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2026
Inspired by fuzzy inference systems and neural networks, this paper presents the design of a memristive fuzzy neural network (M-FNN) with applications to classification tasks, implemented in a computing-in-memory (CIM) architecture. Specifically, a m... read more 

Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model.

Artificial intelligence in medicine Jan 7, 2026
Self-supervised learning autonomously extracts features from unlabeled data, supporting downstream segmentation tasks with limited annotations. However, variations in devices, imaging parameters, and other factors lead to differences in the distribut... read more 

Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease.

Medical image analysis Jan 7, 2026
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based framework for efficient and meaningful unsupervised learning in medical imaging, focusing on Alzheimer's disease (AD) using brain MRI from the ADNI datab... read more 

Temporal knowledge graphs forecasting based on explainable temporal relation tree-graph.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2026
In real-world temporal knowledge graphs, relationships among entities often exhibit complex temporal dynamics. Effectively modeling multi-hop temporal relation chains and enabling interpretable reasoning remain core challenges in temporal knowledge g... read more 

Current advances in LC-MS/MS and GC-MS/MS coupled with chemometrics for integrated food analysis and quality control.

Food chemistry Jan 7, 2026
The continuous evolution of food analysis is being pushed by the integration of cutting-edge liquid and gas chromatography-tandem mass spectrometry (LC-MS/MS and GC-MS/MS), which have transcended the limitations of traditional analytical techniques t... read more 

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