SurgOmics

Personalized prediction of life-threatening complications in surgery using machine learning from multimodal process data.

Project Management: Dr. Fleur Fritz-Kebede

Project partner:

• Dr. Martin Wagner, Artificial Intelligence and Cognitive Robotics Research Group, Department of General, Visceral and Transplant Surgery, UKHD.
• Prof. Stefanie Speidel DKFZ/NCT, Dresden (overall project management)
• Karl Storz SE & Co KG

Sponsor: BMG

Short description: The aim of the project is to improve decision support in hospitals before, during and after surgical interventions. During surgical treatment, an AI-based system will support the decisions of the attending physicians by analyzing clinical data (e.g., OR image and device data) in real time and incorporating the latest study findings. https://www.bundesgesundheitsministerium.de/ministerium/ressortforschung-1/handlungsfelder/forschungsschwerpunkte/digitale-innovation/modul-3-smarte-algorithmen-und-expertensysteme/surgomics.html

Duration: 12/2020 - 09/2023

Employees from the Institute: Elyas Hussein, Vanessa Jörns