Dr. Reinus investigates the use of neural networks as interpreting classifiers for imaging studies and as predictors of who may benefit from specific imaging studies. The ultimate goal is to have direct image interpretation of images using neural network-based classifiers. The current focus is on mammograms. Preliminary work with digitized mammograms shows good success for identification of mass lesions directly from the images without human intervention. Dr. Reinus examines the clinical utility of imaging studies with respect to defined clinical problems and current usage to optimize patient selection for these studies.
Analysis is carried out statistically using univariate and multivariate techniques.
While results may also suggest potential cost inefficiencies, the objective of the investigations is to quantify the efficacy with which medical complaints are approached and analyzed in an emergency setting.