Stefan Franke1, Max Rockstroh2, Mathias Hofer3, Thomas Neumuth2. 1. Innovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstraße 14, 04103, Leipzig, Germany. Stefan.franke@medizin.uni-leipzig.de. 2. Innovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstraße 14, 04103, Leipzig, Germany. 3. Department of ENT Surgery, University Leipzig, Liebigstraße 14, 04103, Leipzig, Germany.
Abstract
PURPOSE: Interoperability of medical devices based on standards starts to establish in the operating room (OR). Devices share their data and control functionalities. Yet, the OR technology rarely implements cooperative, intelligent behavior, especially in terms of active cooperation with the OR team. Technical context-awareness will be an essential feature of the next generation of medical devices to address the increasing demands to clinicians in information seeking, decision making, and human-machine interaction in complex surgical working environments. METHODS: The paper describes the technical validation of an intelligent surgical working environment for endoscopic ear-nose-throat surgery. We briefly summarize the design of our framework for context-aware system's behavior in integrated OR and present example realizations of novel assistance functionalities. In a study on patient phantoms, twenty-four procedures were implemented in the proposed intelligent surgical working environment based on recordings of real interventions. Subsequently, the whole processing pipeline for context-awareness from workflow recognition to the final system's behavior is analyzed. RESULTS: Rule-based behavior that considers multiple perspectives on the procedure can partially compensate recognition errors. A considerable robustness could be achieved with a reasonable quality of the recognition. Overall, reliable reactive as well as proactive behavior of the surgical working environment can be implemented in the proposed environment. CONCLUSIONS: The obtained validation results indicate the suitability of the overall approach. The setup is a reliable starting point for a subsequent evaluation of the proposed context-aware assistance. The major challenge for future work will be to implement the complex approach in a cross-vendor setting.
PURPOSE: Interoperability of medical devices based on standards starts to establish in the operating room (OR). Devices share their data and control functionalities. Yet, the OR technology rarely implements cooperative, intelligent behavior, especially in terms of active cooperation with the OR team. Technical context-awareness will be an essential feature of the next generation of medical devices to address the increasing demands to clinicians in information seeking, decision making, and human-machine interaction in complex surgical working environments. METHODS: The paper describes the technical validation of an intelligent surgical working environment for endoscopic ear-nose-throat surgery. We briefly summarize the design of our framework for context-aware system's behavior in integrated OR and present example realizations of novel assistance functionalities. In a study on patient phantoms, twenty-four procedures were implemented in the proposed intelligent surgical working environment based on recordings of real interventions. Subsequently, the whole processing pipeline for context-awareness from workflow recognition to the final system's behavior is analyzed. RESULTS: Rule-based behavior that considers multiple perspectives on the procedure can partially compensate recognition errors. A considerable robustness could be achieved with a reasonable quality of the recognition. Overall, reliable reactive as well as proactive behavior of the surgical working environment can be implemented in the proposed environment. CONCLUSIONS: The obtained validation results indicate the suitability of the overall approach. The setup is a reliable starting point for a subsequent evaluation of the proposed context-aware assistance. The major challenge for future work will be to implement the complex approach in a cross-vendor setting.
Authors: M Rockstroh; S Franke; M Hofer; A Will; M Kasparick; B Andersen; T Neumuth Journal: Int J Comput Assist Radiol Surg Date: 2017-05-08 Impact factor: 2.924
Authors: Juliane Neumann; Stefan Franke; Max Rockstroh; Martin Kasparick; Thomas Neumuth Journal: Int J Comput Assist Radiol Surg Date: 2019-05-04 Impact factor: 2.924