The University Hospital Zurich (USZ) evaluated in a study the potential of machine learning algorithm to accurately classify parenchymal density in spiral breast CT, using Artificial Intelligence (AI) in the form of a deep convolutional neural network (dCNN).

The results are groundbreaking: AI in form of deep learning can be used to grade breast density accurately and reliably in a Breast CT examination, allowing for standardized decision-making, improving the workflow, and increasing its clinical applicability.

Read the full article: Diagnostics 2022, 12(1), 181