AI tool aims to improve early lung cancer detection

A new AI tool developed by Amsterdam UMC could help GPs detect lung cancer up to four months earlier than current methods, significantly improving survival rates and reducing treatment costs.

The algorithm, which uses data from over 500,000 patients, analyses both structured medical records and unstructured notes made by GPs during regular visits.

By identifying subtle clues like recurring mild symptoms or patterns in appointments, the tool spots signs of cancer before patients would typically be referred for testing.

The AI system was tested on data from general practices across the Netherlands, successfully predicting lung cancer diagnoses months before traditional methods. However, this early detection could have a profound impact, as early-stage lung cancer is often more treatable and can improve survival chances.

Unlike national screening programmes, this tool can be used during a GP consultation without requiring additional tests, and it appears to produce fewer false positives.

While the findings are promising, further research is needed to refine the tool and ensure its effectiveness in different healthcare systems. The researchers also believe the technology could be adapted to detect other hard-to-diagnose cancers, such as pancreatic or ovarian cancer.

If successful, it could revolutionise how GPs identify cancers early, offering a significant leap forward in improving patient outcomes.

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