Jonas Fuchtmann, M.Sc.


Room: Forschungsgruppe MITI, second floor

            Trogerstraße 26, 81675 Munich

Phone: +49 (0)89 4140-7386

Email: jonas.fuchtmann(at)

Research Interests

  • Diagnostic telemedicine 
  • Workflow-based assistance systems for surgical procedures 
  • Machine learning in medicine 
  • Audio-based assistance systems 

Current Projects


In the COVID 19 crisis, the health care system bears a great deal of responsibility. Medical personnel are exposed to increased risks in the treatment of potentially infected patients, which must be mitigated: for personal protection, to interrupt infection chains and to avoid cross-infections.

In the ProteCT project, robotic telediagnostics will enable medical personnel to examine patients from a safe distance. This is to be made possible by a sensitive, robotic telediagnostic system. Doctors will be able to use telepresence to hold discussions and examine patients. The system also allows the collection of basic diagnostics (measurement of vital parameters such as temperature, blood pressure, pulse, oxygen saturation, etc.). As a critical measure in COVID-19 cases, the possibility of an oropharyngeal inspection is also being developed. The diagnosis is performed by mobile and flexible control stations.

In addition to system development, this project will investigate how telediagnostics can be made simple and effective. Once the system has been tested in a clinical study, the ProteCT system can help to maintain the health care system's ability to provide care even in crisis situations caused by epidemics.


  • Ostler, D., Seibold, M., Fuchtmann, J., Samm, N., Feussner, H., Wilhelm, D., & Navab, N. (2020). Acoustic signal analysis of instrument–tissue interaction for minimally invasive interventions. International Journal of Computer Assisted Radiology and Surgery, 1-9.
  • Ostler, D., Wilhelm, D., Bernhard, L., Fuchtmann, J., Kranzfelder, M., Vogel, T., & Feussner, H. (2020). Machine Learning in the OR: A Collaborative Environment for Surgical Interventions in Visceral Medicine. Surgical Technology International, 37.
  • Kranzfelder, M., Ostler, D., Fuchtmann, J., Friess, H., Feussner, H., & Vogel, T. (2020). Der künstlich intelligente Operationssaal. Der Klinikarzt, 49(06), 246-249.

Expert Lectures

  • CURAC2020:  "Analyse akustischer Signale der Gewebe-Instrumenten-Interaktion bei minimal-invasiven Operationen”
  • CURAC2018   “Markerless endoluminal navigation - Deep Learning Based Detection of Intestinal Segments for Colorectal Endoscopic Investigations”