Intelligenter Ultraschall-Aspirator

Project: Projects with Federal Funding › Federal Funding: BMWE (Economic Affairs and Energy)

Project Details

Description

Im Projekt soll eine selbstlernende KI verwendet werden, um einen adaptiven Ultraschall Aspirator zu entwickeln. Das finale Ziel ist die Detektion von verschiedenen Gewebetypen durch die Nutzung des Aspirators als intraoperative Sonde mit einer Mustererkennung als Assistenzsystem
AcronymKI-SIGS AP350
Statusfinished
Effective start/end date01.04.20 → 30.09.23

Collaborative partners

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

Research Areas and Centers

  • Research Area: Intelligent Systems
  • Academic Focus: Biomedical Engineering

DFG Research Classification Scheme

  • 2.22-32 Medical Physics, Biomedical Technology
  • 4.41-01 Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics

Funding Institution

  • Federal Institutions

  • KI SIGS - Space for Intelligent Health Systems

    Leucker, M. (Speaker, Coordinator), Koch, R. (Principal Investigator (PI)), Martinetz, T. (Principal Investigator (PI)), Dembinski, R. (Principal Investigator (PI)), Glüer, C. C. (Principal Investigator (PI)), Buschschlüter, S. (Principal Investigator (PI)), Rostalski, P. (Principal Investigator (PI)), Modersitzki, J. (Principal Investigator (PI)), Gerkmann, T. (Principal Investigator (PI)) & Steinicke, F. (Principal Investigator (PI))

    01.04.20 → 31.12.23

    Project: Projects with Federal Funding › Federal Funding: BMWE (Economic Affairs and Energy)