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AssKI-Smart AI Supported Assistance System to Improve Patient Safety during hard tissue Surgery of the Head"AssKI", Logo from Thomas Stoppe licensed under ©

AssKI-Smart AI Supported Assistance System to Improve Patient Safety during hard tissue Surgery of the Head

Aims

  • Adaptively controlled assistance system with new sensor module
  • AI for forecasting of machining quality
  • Objective reduction of heat, power and noise
  • Minimize the risk of unintentional injury to critical structures
  • Increasing patient safety during surgical drilling

Literature

  • Ben Achour, A., Petto, C., Meißner, H., Hipp, D., Nestler, A., Lauer, G., & Teicher, U. (2019) The Influence of Thrust Force on the Vitality of Bone Chips Harvested for Autologous Augmentation during Dental Implantation.
    Materials (Basel). Nov 9;12(22):3695.https://doi.org/10.3390/ma12223695
  • Teicher, U., Achour, A. B., Nestler, A., Brosius, A., & Lauer, G. (2018). Process based analysis of manually controlled drilling processes for bone. AIP Conference Proceedings 1960, 070025. https://doi.org/10.1063/1.5034921
  • Zahnert, T., Fleischer, M., Bornitz, M., Yarin, Y. M., & Darbinjan, A. (2013). Abschlussbericht zum Projekt: ‘Qualitätssicherung in der Ohrchirurgie – Sensor-Monitoring-Modul zur Überwachung der Lärmbelastung bei Operationen am Schädel. Dresden
  • Neudert, M., Fleischer, M., Bornitz, M., Hausold, M., & Zahnert, T. (2013). Bohrlärm-Messsystem zur Verhinderung von Innenohrschädigungen bei Ohroperationen. Doc13hnod481. https://doi.org/10.3205/13hnod481
  • Fleischer, M., Bornitz, M.,  Zahnert T. (2012) Monitoring System zur Überwachung und Begrenzung der Lärmbelastung bei Operationen am Schädel. In Dresdner Beiträge zur Medizintechnik, 4. Dresdner Medizintechnik Symposium, herausgegeben von Jens Füssel, Edmund Koch, Hagen Malberg, und Winfried Vonau, 14:197–200. TUDpress, Dresden, 2012.

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