Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review.

Journal: The British journal of radiology
Published Date: Sep 29, 2021

Abstract

OBJECTIVES: To undertake the first systematic review examining the performance of artificial intelligence (AI) applied to cross-sectional imaging for the diagnosis of acquired pulmonary arterial hypertension (PAH).

Authors

  • Conor J Hardacre
    Medical School, University of Bristol, Bristol, UK.
  • Joseph A Robertshaw
    Medical School, University of Bristol, Bristol, UK.
  • Shaney L Barratt
    Department of Respiratory Medicine, North Bristol NHS Trust, Bristol, UK.
  • Hannah L Adams
    Brighton and Sussex Medical School, Brighton, UK.
  • Robert V MacKenzie Ross
    Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
  • Graham Re Robinson
    Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
  • Jay Suntharalingam
    Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
  • John D Pauling
    Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.
  • Jonathan Carl Luis Rodrigues
    Royal United Hospitals Bath NHS Foundation Trust, Bath, UK.

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