Artificial Intelligence in the Imaging of Diffuse Lung Disease.

Journal: Radiologic clinics of North America
Published Date:

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.

Authors

  • Jessica Chan
    Department of Radiology and Imaging Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA.
  • William F Auffermann
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1365 Clifton Road NE, Atlanta, GA 30322. Electronic address: william.auffermann@hsc.utah.edu.