Leveraging AI for imaging workflows and reading
Image-data based phenotyping of disease
Predicting cancer recurrence
Li H, Zhu Y, Burnside ES, et al. (2016) MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology 281:382-391
Products and features mentioned herein are under development and not commercially available. Future availability cannot be ensured.
Results and statements displayed in this article have been discussed during the European Congress of Radiology 2018 in Vienna, Austria.
- The statements by Siemens Healthineers customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.