Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8248683 | Physica Medica | 2018 | 10 Pages |
Abstract
The new field of big data processing in radiooncology offers opportunities to support clinical decisions, to improve predicting treatment outcome and to stimulate fundamental research on radiation response both of tumor and normal tissue. The integration of physical data (e.g. treatment planning, dosimetric, image guidance data) demands an involvement of the medical physicist in the radiomics approach of radiooncology. To cope with this challenge national and international organizations for medical physics should organize more training opportunities in artificial intelligence technologies in radiooncology.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Radiation
Authors
Jan C. Peeken, Michael Bernhofer, Benedikt Wiestler, Tatyana Goldberg, Daniel Cremers, Burkhard Rost, Jan J. Wilkens, Stephanie E. Combs, Fridtjof Nüsslin,