Current imaging of PE and emerging techniques: is there a role for artificial intelligence?

Lea Azour, Jane P. Ko, Danielle Toussie, Geraldine Villasana Gomez, William H. Moore

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Acute pulmonary embolism (PE) is a critical, potentially life-threatening finding on contrast-enhanced cross-sectional chest imaging. Timely and accurate diagnosis of thrombus acuity and extent directly influences patient management, and outcomes. Technical and interpretive pitfalls may present challenges to the radiologist, and by extension, pose nuance in the development and integration of artificial intelligence support tools. This review delineates imaging considerations for diagnosis of acute PE, and rationale, hurdles and applications of artificial intelligence for the PE task.

Original languageEnglish
Pages (from-to)24-32
Number of pages9
JournalClinical Imaging
Volume88
DOIs
StatePublished - Aug 2022
Externally publishedYes

Keywords

  • Artificial intelligence
  • CAD
  • CTPA
  • Dual energy
  • Pulmonary embolism

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