Artificial Intelligence Medical Compendium

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

Showing 58,731 to 58,740 of 227,634 articles

Molecular networking, conformal predictions and revised fingerprint-based models for discovering endocrine disruptors in mixtures.

Analytical and bioanalytical chemistry
Prioritizing high-risk features is a key step to reduce workload in non-targeted screening (NTS) when identifying environmental contaminants. Machine learning models from the MS2Tox toolbox have shown promise for feature prioritization, but rely heav... read more 

Water hyacinth detection for autonomous navigation mapping using image segmentation cascaded classifier.

Scientific reports
Water hyacinth (Eichhornia crassipes) is among the world's most aggressive invasive aquatic weeds. Its rapid proliferation forms thick floating mats that block sunlight, deplete dissolved oxygen, impede navigation, degrade water quality, and severely... read more 

Binary classification of signal and background triggers of a transition edge sensor using convolutional neural networks.

Scientific reports
The Any Light Particle Search II (ALPS II) is a light shining through a wall experiment probing the existence of axions and axion-like particles using a 1064 nm laser source. While ALPS II is already taking data using a heterodyne based detection sch... read more 

Hyperspectral imaging dataset for non-destructive fertility and structural evaluation of chicken eggs.

Scientific data
Hyperspectral imaging (HSI) is a smart, non-destructive sensing that integrates spectral and spatial information, advancing fertility prediction and structural evaluation of eggs. Despite increasing interest in poultry research, there remains no publ... read more 

A dataset of real-world oscillograms from electrical power grids.

Scientific data
This paper presents an extensive dataset of real-world oscillograms that capture voltage and current signals from electrical substations. The dataset aims to advance research on power system analysis, fault detection, and machine learning-driven rela... read more 

Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning.

Light, science & applications
Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand-off detection technique owing to its ability to penetrate optically o... read more 

Science, Quality and Value of Laboratory Medicine.

Clinical chemistry and laboratory medicine
The Meeting on Science, Quality and Value of Laboratory Medicine was held on 11 December 2025 in Padua, immediately preceding the 7th European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Conference on the Preanalytical Phase. For ... read more 

Numerical modeling and prediction of late estimated glomerular filtration rate in kidney transplant recipients based on machine learning models and the Monte Carlo simulation method.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: This paper presents an experimental numerical method for modeling and analyzing stochastic systems. For this purpose, various machine prediction models are trained using the Monte Carlo simulation method. This method is presented using ex... read more