Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options

When a person is diagnosed with cancer, difficult decisions about treatments need to be made. In a next step we provided personalized context to these numbers, both in verbal statements and in narratives, with the aim to facilitate shared decision making about treatments.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 In this chapter, we describe an interdisciplinary research project which aims to automatically generate personalized descriptions of treatment options for patients.
• 2 We relied on two large databases provided by the Netherlands Comprehensive Cancer Organisation (IKNL): The Netherlands Cancer Registry and the PROFILES dataset.
• 3 Combining these datasets allowed us to extract personalized information about treatment options for different types of cancer.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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