Artificial Intelligence Medical Compendium

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

Showing 26,511 to 26,520 of 218,283 articles

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

Analytica chimica acta
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
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 

Delisting From Clinical Improvement in Liver Cirrhosis: A Machine Learning Decision Tree Analysis.

Transplantation
BACKGROUND: Following therapeutic advancements, recompensation has gained increasing recognition in patients on waitlist for liver transplantation (LT). Identifying key predictors of waitlist removal because of improvement can enhance prognostication... read more 

NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Datasets.

AJNR. American journal of neuroradiology
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
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
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
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
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