Employing Process Models for Surgical Training

Nagy, Dénes Ákos and Takács, Kristóf and Rudas, Imre and Haidegger, Tamás (2020) Employing Process Models for Surgical Training. In: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).

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Abstract

The exponential rise in minimally invasive procedures throughout the last three decades shifted the focus from individual manual skills to complex engineering solutions. To streamline the delivery of these novel techniques, Surgical Process Models (SPMs) have been under development. SPMs provide the basis for machine learning algorithms to frame the surgical procedure and anchor themselves into the workflow. Process recording is an essential tool to create an accurate representation of the SPM. Process recording, continued with human expert evaluation have been used to assess operator skills and compare interventional approaches. In this paper, we present a web-based surgical process recording tool which is evaluated in a surgical training scenario. Our aim is to involve the trainees in process recording, therefore actively exploring the generic process model of laparoscopic cholecystectomy. Along with training we also use the process records to identify the most accurately represented time points of process transitions, therefore providing target events for future monitoring systems.

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