Use of computational techniques to calculate the delivered dose accumulated in the rectum over the course of the radiation therapy treatment to find relationship between delivered dose and side effects on prostate cancer patients.
Advancing radiation oncology incident learning using Natural Language Processing and Machine Learning techniques
Using Natural language processing, radiomics, and patient-reported outcomes form Opal to predict pain using the CT images of cancer patients with bone metastases.