For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...

Your gut bacteria might give away more about you than your accent does. In a new study, scientists used people’s microbiome ...

A Virginia Commonwealth University (VCU) gastroenterologist and a global team of researchers have developed an artificial intelligence model that significantly improves doctors’ ability to predict ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

Machine learning (ML) has the potential to aid in diagnostics by providing a more precise basis for prediction and making decisions using data given by healthcare sectors throughout the world. This ...

By analysing videos of penalty kicks, a deep learning model was able to predict whether a shot would go to the goalkeeper’s ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...