Enhancing Surgical Process Modeling for Artificial Intelligence development in robotics: the SARAS case study for Minimally Invasive Procedures
| Autor: | Andrea Salonia, Francesco Setti, Alice Leporini, Alberto Sanna, Alessandro Larcher, Diana Trojaniello, Federico Dehò, Elettra Oleari, Riccardo Muradore, Umberto Capitanio, Francesco Montorsi |
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| Jazyk: | angličtina |
| Předmět: |
Process modeling
Process (engineering) Computer science business.industry Surgical process modeling laparoscopy Cognition Robotics artificial intelligence cognitive control minimally invasive surgery artificial intelligenc 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Risk analysis (business) 030220 oncology & carcinogenesis Robot Artificial intelligence business Minimally invasive procedures Surgical process modeling minimally invasive surgery laparoscopy cognitive control artificial intelligenc Desk |
| Zdroj: | 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT) ISMICT |
| DOI: | 10.1109/ismict.2019.8743931 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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