Abstract
Colonoscope insertion can be difficult due to the complicated anatomy of the large intestine. However, clinical training in colonoscope insertion remains hands-on, and introducing Artificial Intelligence (AI) to training and skill certification in colonoscopy will require ontological and semantic descriptions of the clinical procedure. Therefore, the total colonoscopy procedure was described ontologically to develop a strategic education and simulation program. We propose an ontological analysis method comprising colonoscopy procedures and techniques and investigate the feasibility of an ontological approach to the training and evaluation of clinical colonoscopy skills.
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Shinohara, K. (2020). Ontological Description of the Skills of Colonoscopy. In: Kalra, J., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1205. Springer, Cham. https://doi.org/10.1007/978-3-030-50838-8_27
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DOI: https://doi.org/10.1007/978-3-030-50838-8_27
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