About narupeko


Naruhiko Shiratori

Instructor, Kaetsu University
E-Mail: narupeko[at]gmail.com

Naruhiko Shiratori is a researcher on Media Design and AI at Kaetsu University and Keio University in Japan. He recieved Master of Media and Governance in 2004 from Keio University and B.A degree in 2000 from Chiba University. Now, he is studying and studying.



This research proposes a learning navigation system for anesthetists to apply interns to operate surgeries without errors and to study anesthetic practice in operation room. For this purpose, the system gives him or her anesthetic plan, warning, emergency, and alternative plan according to individual level. It has an engine that uses bayesian networks layer (BNL) model to represent anesthetic practice. BNL consists of 3 types of bayesian networks, which are activity bayesian networks, action bayesian networks, and operation bayesian networks, according to abstractive level of anesthetists. Using this system, anesthetic interns can keep "ready-to-hand action", which means that human continues anesthetic actions unconsciously and anesthetic adviser can know situation of his or her interns and situation of surgery outside the operation room.

Anesthetists overcome incidents and accidents with the system. First, anesthetic interns enter the plan into the system, such as the plan of operation of artificial joint replacement or cardiovascular surgery and so on. Second, the system interprets this plan and the interns receive warning depending on the plan of the surgery. For example, blood pressure usually changes in induction of anesthesia, so before this event, anesthetist receives the information of the incidents. Another example is that the system tells him to check the blood pressure when the surgeon uses the cement into knee joint. Third, if some unintentional emergency occurs, anesthetist can receive the emergency data, such as blood pressure will decrease or breathe stops for 2 minutes. Fourth, if the anesthetist fails to adhere to the plan in this emergency, the system gives him the alternative plan. For example, he receives the information that he should insert the ephedrine for the time being and so on. Or, if the anesthetist can not do anything, adviser comes to help him or her. Briefly, the system gives him the anesthetic plan, warning, emergency, and alternative plan in operation room at the same time when asking for the help of adviser.

The system is developed with BNL that gives the useful information depending on individual levels to anesthetists. BNL consists of three types of bayesian networks, which are activity bayesian networks to represent goals of anesthetists, action bayesian networks to represent anesthetic action in order to the goal, and operation bayesian networks to represent unconscious movement in the action. Using different levels of bayesian networks, anesthetists can get the appropriate information as to the individual levels and the situation of operation. Using the system with BNL, anesthetists can do the appropriate action with anesthetic plans, warning, emergency, and alternative plan and study the anesthetic practice in real situation, operation room.



白鳥成彦, and 奥出直人. 2004. 麻酔熟達医における行為判断モデルへのオントロジの適応:
研修医のための手術ナビゲーションへの応用を通して. 人工知能基本問題研究会資料 SIG-FPAI-A401:pp25-29.

白鳥成彦, 鈴木俊輔, 青木啓剛, and 奥出直人. 2004. ユーザーのパーソナルな活動を表現するオントロジの構築. Paper
read at 第66回情報処理学会全国大会.

———. 2005. 分散ベイジアンネットワークを用いた麻酔データベースの構築:曖昧な麻酔プラクティス表現と麻酔ナビゲーションシステムの構築を通して.
Paper read at 第25回医療情報学連合大会, 11.24--26, at Yokohama, Japan.

———. 2006. ダイナミックベイジアンネットワークを用いた麻酔行為の表現. Paper read at
第64回人工知能基本問題研究会, October 30-31.

———. 2006. ダイナミックベイジアンネットワークを用いた麻酔行為の表現: 麻酔ラーニングナビゲーションシステムの構築を通して.
Paper read at 2006年人工知能学会全国大会, June 5-9, at Tokyo.

———. 2007. ベイジアンネットワークレイヤーによる高度技能サービスの産業化. Paper read at 平成18年度
第4回スキルサイエンス研究討論会, January, at 石川.


Shiratori, Naruhiko. 2004. Learning Navigagtion System for Intern of
Anesthetist, Master Thesis, Graduate School of Media and Governance,
Keio University.


Shiratori, Naruhiko, and Naohito Okude. 2007. Bayesian Networks Layer
Model to represent anesthetic practic. Paper read at 2007 IEEE
International Conference on Systems, Man, and Cybernetics (SMC 2007),
at Montreal.


奥出直人, and 白鳥成彦. 2004. Smart Pedagogy. Paper read at 2004年度人工知能学会全国大会論文集.

———. 2005. 麻酔ナビゲーション. In 心臓血管麻酔の進歩, edited by 武田純三, 森田茂穂, 野村実, 山田達也
and 小出康弘: 真興交易(株)医書出版部.

Okude, Naohito, and Naruhiko Shiratori. 2004. Navigation System for
Anesthetist. Paper read at 9th International Congress of
Cardiothoracic and Vascular Anesthesia.





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