Hierarchical Task Networks as Domain-Specific Language for Planning Surgical Interventions

被引:0
|
作者
Bihlmaier, Andreas [1 ]
Schreiter, Luzie [1 ]
Raczkowsky, Joerg [1 ]
Woern, Heinz [1 ]
机构
[1] Karlsruhe Inst Technol, IAR, Intelligent Proc Control & Robot Lab IPR, D-76131 Karlsruhe, Germany
来源
INTELLIGENT AUTONOMOUS SYSTEMS 13 | 2016年 / 302卷
关键词
Surgical workflow; Hierarchical task network; Domain-specific language; Planning;
D O I
10.1007/978-3-319-08338-4_79
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The following paper addresses the challenges of defining surgical workflows. Surgical workflows have to deal with medical and technical aspects on different levels of abstraction in order to ensure safety. We propose hierarchical task networks (HTN) as a unifying domain-specific language (DSL) for the definition of surgical workflows. The DSL describes relations and dependencies in state sequences and surgical actions for complex workflows on varying levels of detail. With an HTN planner we are able to decompose high-level steps into primitive actions and identify all possible workflows together with their paths through the intervention. This information can be used to identify missing or inaccurate information in literature and consequently improve the workflow and safety of the surgical intervention. By means of a case study we present a detailed HTN-based DSL for Laparoscopic Cholecystectomy to show the advantage of using our particular approach to workflow modeling.
引用
收藏
页码:1095 / 1105
页数:11
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