Healthcare

AI's and ML's usages are growing in healthcare, particularly in diagnostics and treatment surveillance. Ongoing progresses show that supervised learning aids in clinical decisions.  Predictive modeling supports human judgment without the need to step into big data. With small sample sizes, as is often the case with medical data, predicting the future and increasing treatment efficiency is possible. Indeed, learning algorithms can perform well on the typical small medical data set.