Model-based formalization of medical knowledge for context-aware assistance in laparoscopic surgery
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The increase of technological complexity in surgery has created a need for novel man-machine interaction techniques. Specifically, context-aware systems which automatically adapt themselves to the current circumstances in the OR have great potential in this regard. To create such systems, models of surgical procedures are vital, as they allow analyzing the current situation and assessing the context. For this purpose, we have developed a Surgical Process Model based on Description Logics. It incorporates general medical background knowledge as well as intraoperatively observed situational knowledge. The representation consists of three parts: the Background Knowledge Model, the Preoperative Process Model and the Integrated Intraoperative Process Model. All models depend on each other and create a concise view on the surgery. As a proof of concept, we applied the system to a specific intervention, the laparoscopic distal pancreatectomy.
Details
Original language | English |
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Title of host publication | Medical Imaging 2014 |
Publisher | SPIE - The international society for optics and photonics, Bellingham |
ISBN (print) | 9780819498298 |
Publication status | Published - 2014 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
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Volume | 9036 |
ISSN | 1605-7422 |
Conference
Title | Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling |
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Duration | 18 - 20 February 2014 |
City | San Diego, CA |
Country | United States of America |
External IDs
ORCID | /0000-0002-4590-1908/work/163294072 |
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Keywords
ASJC Scopus subject areas
Keywords
- Cognition Guided Surgery, Knowledge Engineering, Situation Interpretation