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F. Lalys, L. Riffaud, D. Bouget, P. Jannin (2012)
A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract SurgeriesIEEE Transactions on Biomedical Engineering, 59
T. Blum, H. Feußner, Nassir Navab (2010)
Modeling and Segmentation of Surgical Workflow from Laparoscopic VideoMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 13 Pt 3
K. Cleary, A. Kinsella, S. Mun (2005)
OR 2020 workshop report: Operating room of the future, 1281
N. Padoy, T. Blum, H. Feußner, M. Berger, Nassir Navab (2008)
On-line Recognition of Surgical Activity for Monitoring in the Operating Room
F. Lalys, L. Riffaud, X. Morandi, P. Jannin (2010)
Surgical Phases Detection from Microscope Videos by Combining SVM and HMM
M. Unger, C. Chalopin, T. Neumuth (2014)
Vision-based online recognition of surgical activitiesInternational Journal of Computer Assisted Radiology and Surgery, 9
Thomas Neumuth, N. Durstewitz, M. Fischer, Gero Strauss, Andreas Dietz, Jürgen Meixensberger, Pierre Jannin, Kevin Cleary, Heinz Lemke, Oliver Burgert (2006)
Structured recording of intraoperative surgical workflows, 6145
B. Andersen, H. Ulrich, Ann-Kristin Kock, Jan-Hinrich Wrage, J. Ingenerf (2014)
Semantic interoperability in the OR.NET project on networking of medical devices and information systems — A requirements analysisIEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
P. Jannin, X. Morandi (2007)
Surgical models for computer-assisted neurosurgeryNeuroImage, 37
H. Lemke, M. Vannier (2006)
The operating room and the need for an IT infrastructure and standardsInternational Journal of Computer Assisted Radiology and Surgery, 1
O. Weede, Frank Dittrich, H. Wörn, B. Jensen, A. Knoll, D. Wilhelm, M. Kranzfelder, A. Schneider, H. Feußner (2012)
Workflow analysis and surgical phase recognition in minimally invasive surgery2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)
(2013)
A workflow-driven surgical information source management
Abstract In recent years, approaches for information and control integration in the digital operating room have emerged. A major step towards an intelligent operating room and a cooperative technical environment would be autonomous adaptation of medical devices and systems to the surgical workflow. The OR staff should be freed from information seeking and maintenance tasks. We propose a closed-loop concept integrating workflow monitoring, processing and (semi-)automatic interaction to bridge the gap between OR integration of medical devices and workflow-related information management. Four steps were identified for the implementation of workflow-driven assistance functionalities. The processing steps in the closed loop of workflow-driven assistance could either be implemented with centralized responsible components or in a cooperative agent-based approach. However, both strategies require a common framework and terminology to ensure interoperability between the components, the medical devices (actors) and the OR infrastructure.
Current Directions in Biomedical Engineering – de Gruyter
Published: Sep 1, 2015
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