Artificial intelligence for early detection of lung cancer in GPs' clinical notes: a retrospective observational cohort study.

Journal: The British journal of general practice : the journal of the Royal College of General Practitioners
PMID: 40044183

Abstract

BACKGROUND: The journey of >80% of patients diagnosed with lung cancer starts in general practice. About 75% of patients are diagnosed when it is at an advanced stage (3 or 4), leading to >80% mortality within 1 year at present. The long-term data in GP records might contain hidden information that could be used for earlier case finding of patients with cancer.

Authors

  • Martijn C Schut
    Department of Medical Informatics, Amsterdam UMC (location AMC), Amsterdam, The Netherlands.
  • Torec T Luik
    Department of Medical Informatics, Amsterdam UMC Academic Medical Center (AMC), Amsterdam; Amsterdam Public Health, Amsterdam UMC, Amsterdam; Department of Medical Biology, Amsterdam UMC AMC, Amsterdam, the Netherlands.
  • Iacopo Vagliano
    Amsterdam UMC, location University of Amsterdam, Netherlands. Electronic address: i.vagliano@amsterdamumc.nl.
  • Miguel Rios
    Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, the Netherlands.
  • Charles W Helsper
    Netherlands School of Public and Occupational Health, Utrecht, the Netherlands.
  • Kristel M van Asselt
    Amsterdam Public Health, Amsterdam UMC, Amsterdam; Department of General Practice, Amsterdam UMC AMC, Amsterdam, The Netherlands.
  • Niek de Wit
    Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
  • Ameen Abu-Hanna
    Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.
  • Henk Cpm van Weert
    Amsterdam Public Health, Amsterdam UMC, Amsterdam; Department of General Practice, Amsterdam UMC AMC, Amsterdam, The Netherlands.

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