オクヤマ　ケイコ   Okuyama Keiko   奥山　佳子    所属   その他 その他    職種   嘱託医師
言語種別	英語
発表タイトル	Development of Medical Ampule Label Detection and Identification Device with Neural Network Deep Learning Technology
会議名	Anesthesiology 2018
主催者	American society of Anesthesiologists
学会区分	国際学会及び海外の学会
発表形式	口頭
講演区分	一般
発表者・共同発表者	◎KASUYA Yusuke, ASANO Hidetsugu, MORIWAKI Shota, OKUYAMA Keiko, MURAGAKI Yoshihiro, OZAKI Makoto
発表年月日	2018/10/13
開催地 （都市, 国名）	San Francisco, USA
概要	A1060 October 13, 2018 10/13/2018 10:30:00 AM - 10/13/2018 12:30:00 PM Room North, Hall D, Area C Introduction: Drug administration errors frequently happen in the operating room, which may result in a serious accident. Because it is not feasible to perform routine two-person double checks in daily practice in the operating room, we need other strategies to prevent drug errors, and a computer-device-assisted double check can be one of the solutions. The aim of this project is to develop a novel medical ampule identification system using a deep learning convolutional neural network model.