MICCAI 2022 Daily – Wednesday

not an expert in this. We collaborate. So ‘ we ’ is now the physicians at the University Hospital. We have a couple of institutions that we collaborate with, but mostly it's the group of Professor Stefanie Speidel at the National Center for Tumor Diseases in Dresden. She has been working on surgical video analysis for a couple of years now, very intensively, and has also presented frequently at MICCAI. In her group, I have been working with a couple of informaticians including Sebastian Bodenstedt, Alexander Jenke, and Stefan Leger. They have all helped us, surgeons, a lot with making our data accessible, making our data interpretable, but it's all a group effort. On this data set, we have really collaborated very intensely. It was very fruitful and we got pretty far in this work because we started from the ground and we built it up all from scratch, just like raw surgery videos. Can you tell our readers how you got to that position? Because this is not a typical path for a physician to deal with these kinds of things. Actually, there was a bit of chance involved as well, as always. I have been interested in research in a very broad sense since my first year of medical school. During medical school, I was involved in basic research work such as wet lab work at the German Cancer Research Center in Heidelberg. I kind of got involved with the topic of cancer very broadly, and this fascinated me for a long time. Then at the end of medical school in 2019, I decided to go into abdominal surgery, where you treat cancer by basically doing surgery on that and resecting the tumors. That was very fascinating and very direct for me. At my job interview at my university hospital, I already told my boss that I'm coming to this particular hospital or I would like to join the team there because I'm interested in research and cancer research. I would like to do that in the setting of surgery. I already kind of figured during medical school that I would like to go. I actually realized a couple of points in different projects that I did. Data science is like a knowledge gap for myself, where I would like to improve my knowledge. At this point, I didn't really know how I wanted to get more involved in this. It could have been genomics because I did 23 DAILY MICCAI Wednesday Fiona Kolbinger