In the age of digitization of medicine, the amount of data collected for any given patient is growing tremendously, with huge potential for ever more precise treatments and better patient care. In particular, modern imaging techniques are able to visualize the individual anatomical conditions of the patient at a fascinating level of detail. They are therefore at the core of precision planning and execution of many surgical procedures. However, exploiting this wealth of information to the best possible extent remains a big challenge. It requires smart algorithms to analyze images (2D, 3D, and even 4D), fuse information from different sources, and construct a consistent data model that the clinical user can interact with. In this talk, Dr. Jens Schmaler will discuss how Snke OS exploits computer vision, machine learning, simulations, and in-depth anatomical knowledge to construct such a holistic anatomical data model which is not only valid at a given point in time, but even follows the patient over the course of the treatment.
Thursday, April 28, 2022
4:00 PM – 5:00 PM UTC
Introduction |
Keynote |
Q&A and wrap-up |
Snke OS GmbH
Director R&D Data Intelligence
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
GDSC Lead
Core Team Member
ETH Zurich
Core Team Member
ETH Zurich
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH Zürich
Core Team Member
Core Team Member