The field of digital oncology has brought the large-scale introduction of data science and artificial intelligence into the health care sector and cancer patient care. Today's advanced radiotherapy methods involve an enormous wealth of multimodal medical patients and especially image data, requiring the careful use of computer science to efficiently manage and facilitate information for the best treatment options. Artificial intelligence and deep learning technologies are applied to advance the current state of the art in radiooncology towards a better assessment of diagnosis, risk, and prognosis as well as planning and delivery of accurate treatments.

The group is part of the Department of Radiation Oncology at Heidelberg University Hospital.

Resources usedPattern Analysis and Learning Group