Neurophobia among Hispanic medical students may deter them from choosing neurology, potentially leading to a future shortage ...

The following is a summary of “Advancement and independent validation of a deep learning-based tool for automated scoring of ...

Prior studies have shown that AI-generated persuasive content can be difficult to detect, even when disclosures are provided.

Germany: A team of researchers from Germany developed a deep learning model using a convolutional neural network (CNN) to ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results. Jupyter Notebook applying statistical theory to housing price prediction, ...

Monthly price change in percentage terms can be compared between the Argus Feeder Steer Index and the MLA indicators to demonstrate how strong the correlation in price movements have been historically ...

were investigated with Pearson's correlation coefficient and the 95% CI was computed thanks to the Fisher's Z-transform. For this analysis, the Geboes score was transformed with ranks into a ...

Pearson correlation coefficients and Kruskal-Wallis tests were used for statistical analyses. Results Nuclear colour score was the only clinical parameter with a weak significant correlation with LT ...

The Pearson's correlation coefficient and the Variance Inflation Factor ... Rad-EfficientNet achieved an accuracy score of 82%, outperforming conventional classifiers trained solely on radiomic ...