Artificial intelligence for early detection of lung cancer in GPs’ clinical notes: a retrospective observational cohort study
Artificial intelligence-based support enables earlier detection of lung cancer in general practice using readily available text in the patient files of GPs, but needs additional prospective clinical evaluation.
Authors
- Martijn C. Schut (ORCID: https://orcid.org/0000-0003-4591-9646)
- Torec T. Luik (ORCID: https://orcid.org/0009-0007-9361-0586)
- Iacopo Vagliano (ORCID: https://orcid.org/0000-0002-3066-9464)
- Kristel M. van Asselt (ORCID: https://orcid.org/0000-0001-9679-2177)
- Henk van Weert (ORCID: https://orcid.org/0000-0001-6370-4724)
- Ameen Abu‐Hanna (ORCID: https://orcid.org/0000-0003-4324-7954)
- Charles W. Helsper (ORCID: https://orcid.org/0000-0002-3268-174X)
- Niek J. de Wit (ORCID: https://orcid.org/0000-0002-0273-8290)
- Miguel A Rios Gaona
Institutions
- University of Vienna (AT)
- Utrecht University (NL)
- Amsterdam UMC Location University of Amsterdam (NL)
- University Medical Center Utrecht (NL)
- Amsterdam Neuroscience (NL)
- Amsterdam University Medical Centers (NL)
- European Public Health Association (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- British Journal of General Practice
- Published
- 2025-03-05
- DOI
- https://doi.org/10.3399/bjgp.2023.0489
- Citations
- 6
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 9.11