Artificial Intelligence Medical Compendium

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

Showing 59,031 to 59,040 of 227,876 articles

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

Scientific data Jan 22, 2026
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 

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

Scientific data Jan 22, 2026
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 

Machine learning for individual epigenetic fingerprints as predictors of well-being in young adults.

Scientific reports Jan 22, 2026
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Binary classification of signal and background triggers of a transition edge sensor using convolutional neural networks.

Scientific reports Jan 22, 2026
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 

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

Scientific reports Jan 22, 2026
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 

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

Analytical and bioanalytical chemistry Jan 22, 2026
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 

Classification of industrial chemicals for respiratory chemosensory irritation using the TRPV1-expressing neuronal SH-SY5Y cell model and machine learning.

Archives of toxicology Jan 22, 2026
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The impact of balance exercise on brain age and brain morphometry: insights from MRI analysis.

Aging clinical and experimental research Jan 22, 2026
Physical exercise is known to delay the cognitive decline in the elderly. However, the effect of low-impact balance exercises such as yoga or Tai chi has not been explored in detail. This cross-sectional observational study used brain magnetic resona... read more 

Integrated multi-omics and machine learning identify an interaction between SLC39A11 and phosphoinositide metabolism in deep vein thrombosis.

BMC medical informatics and decision making Jan 22, 2026
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Characterizing prognostic and immunological traits of kidney renal clear cell carcinoma via mitochondria-associated membranes and identifying DNM1L as a potential therapeutic target using machine learning.

BMC cancer Jan 22, 2026
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