Deep Learning Models for Predicting Malignancy Risk in CT-Detected Pulmonary Nodules: A Systematic Review and Meta-analysis.

Journal: Lung
Published Date:

Abstract

BACKGROUND: There has been growing interest in using artificial intelligence/deep learning (DL) to help diagnose prevalent diseases earlier. In this study we sought to survey the landscape of externally validated DL-based computer-aided diagnostic (CADx) models, and assess their diagnostic performance for predicting the risk of malignancy in computed tomography (CT)-detected pulmonary nodules.

Authors

  • Wahyu Wulaningsih
    The Royal Marsden, London, UK. wahyu.wulaningsih@nhs.net.
  • Carmela Villamaria
    Modamast Pte Ltd, Singapore, Singapore.
  • Abdullah Akram
    Modamast Pte Ltd, Singapore, Singapore.
  • Janella Benemile
    Modamast Pte Ltd, Singapore, Singapore.
  • Filippo Croce
    University Hospital of Wales, Cardiff, UK.
  • Johnathan Watkins
    Optellum Ltd, Oxford, UK. johnathan.watkins@optellum.com.