6G in medical robotics: development of network allocation strategies for a telerobotic examination system
This work lays the foundation for the development of medical robotic applications using 6G network architectures and distributed computing scenarios, such as fog computing. In the future, we plan to investigate the capability to dynamically shift MAFs within the network based on current situational demand, which could help to further optimize the performance of network-based medical applications and play a role in addressing the increasingly critical challenges in healthcare.
Authors
- Andrew Madden (ORCID: https://orcid.org/0009-0004-4283-2355)
- Lukas Bernhard (ORCID: https://orcid.org/0000-0002-9729-8928)
- Dirk Wilhelm (ORCID: https://orcid.org/0000-0002-2972-9802)
- Wolfgang Kellerer (ORCID: https://orcid.org/0000-0003-4358-8038)
- Sven Kolb (ORCID: https://orcid.org/0009-0002-3176-3206)
- Nicolai Kröger (ORCID: https://orcid.org/0000-0003-4282-4166)
- Fidan Mehmeti (ORCID: https://orcid.org/0000-0002-0997-6929)
- Franziska Jurosch (ORCID: https://orcid.org/0000-0002-9974-6886)
Institutions
- TUM Klinikum (DE)
- Technical University of Munich (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1007/s11548-024-03260-6
- Citations
- 6
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- Bundesministerium für Bildung und Forschung