Translational Surgical Oncology
- Imaging, Radiooncology and Oncoengineering
- NCT
Prof. Dr. Stefanie Speidel
Head of Department
Prof. Dr. Stefanie Speidel is developing assistance systems to guide surgeons safely and directly to the tumor. These intelligent aids are particularly needed for minimally invasive operations. Here, the surgeon makes a small incision in the patient's skin and controls the operation using video images from the endoscope.
Our research
Increasingly powerful technological developments in surgery, such as new devices and technologies, generate an enormous amount of valuable data that can be used to improve personalized therapy. However, the use of this data, especially in complex, time-critical surgical situations, is limited and heavily dependent on the experience of the surgical staff.
The aim is to use surgical data science, robotics and new sensors to quantify surgical skills and expertise and transfer them to machines. Our research focuses on three essential areas to pave the way for next-generation robotic surgery:
The research and methodological focus is on machine learning for video-based workflow analysis, soft tissue navigation, and semi-automated execution of robotic surgery. To address the lack of data, we are working on the synthetic generation and simulation of realistic training data and on proof-of-concept studies to enable translation into clinical practice.