Maximizing Lung Cancer Screening in High-Risk Population Leveraging ML-Developed Risk-Prediction Algorithms: Danish Retrospective Validation of LungFlag.

Journal: Clinical lung cancer
Published Date: Jun 4, 2025

Abstract

BACKGROUND: Early detection of lung cancer (LC) is crucial for curative treatment, but current screening methods face challenges due to high costs and poor adherence. Artificial intelligence tools, such as the LungFlag model, uses routine clinical data for innovative risk stratification. This study validates LungFlag in Danish high-risk populations to assess its potential in LC screening.

Authors

  • Margrethe Bang Henriksen
    Department of Oncology, Vejle University Hospital, Vejle, Denmark; Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark. Electronic address: margrethe.hostgaard.bang.henriksen@rsyd.dk.
  • Ole Hilberg
    Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark.
  • Christian Juul
    Roche Pharmaceuticals A/S, 1799 Copenhagen, Denmark.
  • Rasmus Thomsen
    Roche Pharmaceuticals A/S, 1799 Copenhagen, Denmark.
  • Sara Witting Christensen Wen
    Department of Oncology, Vejle University Hospital, Vejle, Denmark; Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark.
  • Morten Borg
    Department of Internal Medicine, Vejle University Hospital, Vejle, Denmark.
  • Andreas Fanø
    Roche Pharmaceuticals A/S, 1799 Copenhagen, Denmark.
  • Alon Lanyado
    Medial EarlySign, Hod Hasharon, Israel.
  • Itamar Menuhin-Gruman
    Medial EarlySign, Hod Hasharon, Israel.

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