Artificial Intelligence Medical Compendium

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

Showing 61,871 to 61,880 of 230,319 articles

AI-driven optimization of sustainable solvent-based extraction: A deep learning approach for green sample preparation.

Analytica chimica acta Jan 21, 2026
BACKGROUND: This study introduces a data-driven deep learning framework for optimizing the extraction of plant biomolecules, aiming to improve both efficiency and sustainability in analytical sample preparation. Conventional extraction methods such a... read more 

Development of a deep neural network model for simultaneous analysis of extracellular analyte gradients for a population of cells.

Artificial intelligence in the life sciences Jan 21, 2026
Detecting the spatial release of extracellular nitric oxide (NO) is essential for understanding the dynamics in cell communication for physiological and pathological processes. This study presents an innovative methodology that integrates fluorescenc... read more 

Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.

The American journal of emergency medicine Jan 21, 2026
BACKGROUND: This study aimed to demonstrate the feasibility of using computer vision (CV) to unobtrusively extract body motion metrics from videos of emergency medicine (EM) clinicians, and gather validity evidence of these metrics to differentiate P... read more 

Adaptive sampling for efficient Lamb wavefield reconstruction in composite laminates with Spatial-Temporal Masked AutoEncoder.

Ultrasonics Jan 21, 2026
The increasing demand for high-accuracy damage quantification in carbon fiber reinforced plastics (CFRP) has led to the widespread adoption of ultrasonic Lamb wave testing (ULWT) for non-destructive testing (NDT) in various engineering applications. ... read more 

MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Significant progress has been made in the application of transformer architectures for multimodal tasks. However, current methods such as the self-attention mechanism rarely consider the benefits that feature complementarity and consistency between d... read more 

PHoM: Effective pan-sharpening via higher-order state-space model.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Pan-sharpening is intended to generate high-resolution multi-spectral images, utilizing pairs of low-resolution multi-spectral and high-resolution panchromatic images. Recently, the Mamba-based pan-sharpening models achieve state-of-the-art performan... read more 

Relation-aware pre-trained network with hierarchical aggregation mechanism for cold-start drug recommendation.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2026
Drug recommendation systems have garnered considerable interest in the healthcare, striving to offer precise and customized drug prescriptions that align with patients' specific health needs. However, existing methods primarily focus on modeling temp... read more 

Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach.

Psychiatry research. Neuroimaging Jan 21, 2026
Exploiting deep learning methods to accelerate the analysis of medical images and the interpretation of pathology results for early diagnosis of Alzheimer's disease (AD) has recently attracted great attention. However, challenges like sub-optimal cla... read more 

Smart evaluation of tea quality: machine learning-assisted SERS for white tea vintage authentication and grade classification.

Food chemistry Jan 21, 2026
Traditional sensory evaluation methods for tea-relying on empirical experience, visual colorimetry, and subjective taste perception-suffer from irreproducible inter-rater variability and inability to quantify bioactive markers, thus failing to establ... read more 

Prospective evaluation of artificial intelligence (AI) in lumbar spine magnetic resonance imaging (MRI) workflow: from deep learning (DL)-enhanced accelerated acquisition to simultaneous vision-language model (VLM)-based automated report generation.

European journal of radiology Jan 21, 2026
OBJECTIVES: To evaluate the diagnostic interchangeability of DL-enhanced accelerated lumbar (L)-spine magnetic resonance imaging (MRI) with conventional imaging and to assess the diagnostic agreement and feasibility of vision-language-model (VLM)-bas... read more 
Popular Topics
Recent Journals