An Artificial Intelligence Platform for the Radiologic Diagnosis of Pulmonary Sarcoidosis: An Initial Pilot Study of Chest Computed Tomography Analysis to Distinguish Pulmonary Sarcoidosis from a Negative Lung Cancer Screening Scan.

Journal: Lung
PMID: 37962584

Abstract

PURPOSE: To determine the reliability of an artificial intelligence, deep learning (AI/DL)-based method of chest computer tomography (CT) scan analysis to distinguish pulmonary sarcoidosis from negative lung cancer screening chest CT scans (Lung Imaging Reporting and Data System score 1, Lung-RADS score 1).

Authors

  • Marc A Judson
    Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY 12208, USA.
  • Jianwei Qiu
    GE HealthCare, Troy, NY, USA.
  • Camille L Dumas
    Cardiovascular Division, Department of Radiology, Albany Medical College, Albany, NY, USA.
  • Jun Yang
    Cardiovascular Endocrinology Laboratory, Hudson Institute of Medical Research, Clayton, Victoria, Australia; Department of Medicine, Monash University, Clayton, Victoria, Australia.
  • Brion Sarachan
    GE HealthCare, Troy, NY, USA.
  • Jhimli Mitra
    Australian e-Health Research Centre, CSIRO, Digital Productivity Flagship.

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