In short, Lisanne van Dijk's research entails the following:
Deep learning to Enhance Therapeutic Outcomes and toXicity for LUNG cancer patients (DETOX-LUNG)
Radiotherapy is an important treatment for lung cancer patients, yet they are often faced with severe toxicities due to radiation damage. These toxicities do not only have a big impact on the quality-of-life of patients, but can also have a negative impact on their prognosis. Adequate prediction of treatment response is needed to prevent severe toxicities and (related) fatalities by personalized treatment optimization.
This project aims to improve the lung cancer radiotherapy outcome prediction with Artificial Intelligence. Artificial Intelligence has the capacity to deal with three-dimensional radiation dose admitted to the patient for the prediction of toxicities, instead of the current models than can only deal with an average radiation dose value to a single organ. This can be combines with the patient-specific characteristics from medical images and clinical data.
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