Artificial Intelligence Medical Compendium

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

Showing 37,131 to 37,140 of 223,469 articles

Microplastic content prediction in agricultural soils using a mixed variable selection combined with Transformer-LSTM fusion architecture.

Talanta Apr 1, 2026
The widespread accumulation of microplastics (MPs) in agricultural soils poses potential threat to agricultural product safety and ecosystem stability. Therefore, the development of efficient and accurate prediction methods for soil microplastic cont... read more 

U-Mamba-Spectra: A novel generative and explainable framework for camel milk adulteration detection using near-infrared spectral learning.

Food chemistry Apr 1, 2026
Camel milk is vulnerable to adulteration due to its high value and limited supply. This study proposes an interpretable framework, U-Mamba-Spectra, for qualitative and quantitative detection of camel milk adulteration using near-infrared (NIR) spectr... read more 

Real-world text-only inference of PI-RADS v2.1 from prostate MRI reports using large language models: a lesion-level, zone-aware study.

European journal of radiology Apr 1, 2026
PURPOSE: To evaluate the feasibility and limitations of real-world, text-only inference of PI-RADS v2.1 categories from prostate MRI reports using large language models, with lesion-level and zone-aware analysis. MATERIALS AND METHODS: This single-ce... read more 

A spatiotemporal wind power forecasting method based on dual-view graph fusion and dual-granularity residual learning.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
Accurate wind power forecasting for turbine clusters is critical for reliable power system operation. Existing spatiotemporal graph neural network (ST-GNN) methods typically rely on a single static graph representation, which limits their ability to ... read more 

Attack-resilient adaptive distributed neurodynamic approach for solving noncooperative games.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
This paper considers noncooperative games operating under adversarial conditions, including both exploratory and causative attacks, where players' dynamics are subject to private inequality constraints and external disturbances. To address this chall... read more 

Efficacy of swine Influenza A virus vaccines on transmission, viral shedding and clinical signs: Systematic review and meta-analysis.

Preventive veterinary medicine Apr 1, 2026
Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective of this systematic review and meta-analysis was to quantify the efficacy of swIAV vaccines in pigs, r... read more 

NeuroGT: Biophysically grounded graph transformers for self-supervised representation learning of neuronal morphology.

Medical image analysis Apr 1, 2026
The intricate shape of a neuron is a fundamental determinant of its computational role, and its quantitative analysis is crucial for deciphering brain function. The advent of high-throughput imaging has produced neuronal reconstructions at unpreceden... read more 

Privacy emotion recognition in artificial intelligence: Research frontiers, key challenges, and prospects.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2026
With the arrival of the new wave of artificial intelligence, emotional intelligence has broad application prospects. By quantifying the psychological state of humans through psychophysiological calculations, machines can be endowed with the enhanced ... read more 

Interpretable deep learning with pharmacogenomics predicts myocardial infarction in angiotensin receptor blocker treated hypertension.

Journal of hypertension Apr 1, 2026
OBJECTIVE: A significant residual risk of myocardial infarction (MI) persists in hypertensive patients treated with angiotensin receptor blockers (ARBs). Conventional risk models often fail to capture the complex, nonlinear interactions among clinica... read more 

A cell comparative multiple instance learning network guided by image quality assessment for cervical whole slide image classification.

iScience Apr 1, 2026
Early screening is essential for reducing the incidence and mortality of cervical cancer, and artificial intelligence-based analysis of whole slide images (WSIs) enables large-scale automated screening. However, existing methods often ignore image qu... read more 
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