Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of ... diagnostic classification can be improved by using non-invasive ...

One possible solution is to use diffusion ... two machine learning classifiers, a linear model called naïve Bayes (NB) and a non-linear model called random forest (RF), and trained them to ...

In a pioneering study from the Expertise Center for Movement Disorders in Groningen, machine learning, a core area of artificial intelligence (AI), was successfully used for the first time to ...

Researchers have recast diffusion in multicomponent alloys as a sum of individual contributions, called 'kinosons.' Using machine learning to ... These types of alloys are interesting because ...