Artificial Intelligence in the Imaging of Diffuse Lung Disease

Abstract

Diffuse lung diseases are a heterogeneous group of disorders that can be difficult to differentiate by imaging using traditional methods of evaluation. The overlap between various disorders results in difficulty when medical professionals attempt to interpret images. Artificial intelligence offers new tools for the evaluation and quantification of imaging of patients with diffuse lung disease.

Keywords: Artificial intelligence; Computed tomography; Convolutional neural networks; Deep learning; Interstitial lung disease.