Paper Info
Title
Enhancing Surgical Process Modeling for Artificial Intelligence development in robotics: the SARAS case study for Minimally Invasive Procedures
Abstract
Nowadays Minimally Invasive Surgery (MIS) is playing an increasingly major role in the clinical practice also thanks to a rapid evolution of the available medical technologies, especially surgical robotics. A new challenge in this respect is to equip robots with cognitive capabilities, in order to make them able to act autonomously and cooperate with human surgeons. In this paper we describe the methodological approach developed to comprehensively describe a specific surgical knowledge, to be transferred to a complex Artificial Intelligence (AI) integrating Perception, Cognitive and Planning modules. Starting from desk researches and a strict cooperation with expert surgeons, the surgical process is framed on a high-level perspective, which is then deepened into a granular model through a Surgical Process Modelling approach, so as to embed all of the needed information by the AI to properly work. The model is eventually completed adding the corresponding Process Risk Analysis. We present the results obtained with the application of the aforementioned methodology to a Laparoscopic Radical Nephrectomy (LRN) procedure and discuss on the next technical implementation of this model.
Year
DOI
Venue
2019
10.1109/ISMICT.2019.8743931
2019 13th International Symposium on Medical Information and Communication Technology (ISMICT)
Keywords
Field
DocType
Surgical process modeling,minimally invasive surgery,laparoscopy,cognitive control,artificial intelligence
Risk analysis (business),Process modeling,Clinical Practice,Minimally invasive procedures,Artificial intelligence,Engineering,Robot,Cognition,Robotics,Desk
Conference
ISSN
ISBN
Citations 
2326-828X
978-1-7281-2343-1
0
PageRank 
References 
Authors
0.34
1
11
Name
Order
Citations
PageRank
Elettra Oleari193.63
Alice Leporini200.68
D Trojaniello3163.95
Alberto Sanna4418.70
Umberto Capitanio500.68
Federico Dehó600.34
Alessandro Larcher700.34
Francesco Montorsi8123.51
Andrea Salonia9101.78
Francesco Setti108714.74
Riccardo Muradore1112823.11