Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.

Journal: Current opinion in pulmonary medicine
Published Date:

Abstract

PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Many artificial intelligence tools have been developed in this modality for the assessment of pulmonary hypertension. This article reviews the latest CT artificial intelligence applications in pulmonary hypertension and related diseases.

Authors

  • Michael J Sharkey
  • Elliot W Checkley
    Department of Clinical Medicine, University of Sheffield.
  • Andrew J Swift
    Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.