Artificial Intelligence Medical Compendium

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

Showing 26,131 to 26,140 of 217,905 articles

An open-access fire detection image dataset for research in computer vision and safety monitoring.

Data in brief Apr 24, 2026
This article presents the Fire Recognition Image Dataset, a comprehensive collection of images designed to support research in fire detection, smoke recognition, and safety monitoring using computer vision techniques. The dataset was created by syste... read more 

Artificial intelligence-driven drug discovery: a new era in therapeutic innovation.

Bioorganic & medicinal chemistry Apr 24, 2026
Artificial intelligence (AI) is a computer system that performs tasks that require learning, problem-solving and decision-making skills. It mimics humans' cognitive functions, which include pattern recognition. Vast amounts of data serve as "experien... read more 

Feature-enhanced dual-input transformer for LIBS quantitative analysis of minor-content elements.

Analytica chimica acta Apr 24, 2026
BACKGROUND: Laser-induced breakdown spectroscopy (LIBS) enables rapid, in situ quantitative compositional analysis, yet accurate quantification of minor-content elements remains difficult due to weak spectral signatures, noise, matrix effects, and li... read more 

Machine learning-based identification of key genes underlying sex differences in hepatocellular carcinoma and targeted drug screening.

Biomedical reports Apr 24, 2026
Hepatocellular carcinoma (HCC) shows a marked predominance in men, yet the molecular basis for this sex disparity remains unclear. The present study leveraged multi-omics data and machine learning algorithms to identify key genes associated with sex-... read more 

Using Artificial Intelligence to Detect Housing Status in Unstructured Electronic Health Record Data.

Joint Commission journal on quality and patient safety Apr 24, 2026
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NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Datasets.

AJNR. American journal of neuroradiology Apr 24, 2026
Neuroradiology datasets hold significant potential for advancing neuroimaging research, yet identifying relevant and up-to-date resources remains challenging. NeuroAIHub is an artificial intelligence (AI)-driven framework designed to automate dataset... read more 

Performance of DRNNAGE for macroscopic age-at-death estimation in contemporary Brazilian identified skeletons.

Journal of forensic sciences Apr 24, 2026
In global forensic literature, methods for estimating age in young individuals are more commonly addressed than those applicable to adults. This trend is also evident in Brazil. This study aimed to evaluate the performance of the DRNNAGE software for... read more 

Global blue carbon losses from salt marshes exceed restoration gains.

Nature communications Apr 24, 2026
Salt marsh soil organic carbon (SOC) is a key blue carbon pool affected by both disturbance and restoration; yet its long-term global dynamics remains poorly understood. Here we provide the global assessment of surface SOC changes in salt marshes fro... read more 

Trustworthy tree-based machine learning by MoS2 flash-based analog content-addressable memory with inherent soft boundaries.

Nature communications Apr 24, 2026
The rapid advancement of artificial intelligence has raised concerns regarding its trustworthiness, especially in terms of interpretability and robustness. Tree-based models such as Random Forest excel in interpretability and accuracy for tabular dat... read more 

Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.

Nature communications Apr 24, 2026
There is considerable interest in training machine learning (ML) models on genomic data that achieve clinical grade diagnostic accuracy. Many successful ML models have been trained and validated on binary tasks because predicting biomedically relevan... read more 
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