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Episode 204: Using artificial intelligence techniques for early diagnosis of lung cancer in general practice

 

Today, we’re speaking to  Professor Martijn Schut, Professor of Translational AI in Laboratory Medicine and Professor Henk CPM van Weert, GP and Emeritus Professor of General Practice, both based at Amsterdam University Medical Center.

Title of paper: Artificial intelligence for early detection of lung cancer in GPs’ clinical notes: a retrospective observational cohort study

Available at: https://doi.org/10.3399/BJGP.2023.0489

In most cancers, the prognosis depends substantially on the stage at the start of therapy. Therefore, many methods have been developed to enhance earlier diagnosis, for example, logistic regression models, biomarkers, and electronic-nose technology (exhaled volatile organic compounds). However, as most patients are referred by their GP, who keeps life-long histories of enlisted patients, general practice files might contain hidden information that could be used for earlier case finding. An algorithm was developed to identify patients with lung cancer 4 months earlier, just by analysing their files. Contrary to other methods, all medical information available in general practice was used.

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