Implementation of a computer-assisted surgical instrument sterilization system based on deep learning for health centers

Campos-Montes A.O.; Vega-Urquizo C.J.; Paredes M.G.S.P.; Acuna-Condori K. · 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022 (2022) · DOI: 10.1109/andescon56260.2022.9989783

Resumen

In many health centers, the replacement of defects, and failures of high-cost surgical instruments during the sterilization stage are not detected because it is commonly done manually. Our computer-assisted verification system is based on deep learning for classification and a neural network for fault training helps to find instrument types, classify, and detect various types of problems that are ignored during meticulous and high-reliability control. The proposed system obtained a mean average precision of around 97% for classification type and 94% for fault classification network.

Instituciones: Pontificia Universidad Católica del Perú; Universidad Tecnológica del Perú; Universidad de Ingeniería y Tecnología