Prof. Kensaku Mori, PhD

Professor, Graduate School of Informatics,
Directory, Information Technology Center, Nagoya University, Japan

Title: Artificial Intelligence for Endoscopic Procedures

Abstract: In this talk, we will introduce artificial intelligence (AI) applications in endoscopic procedures including endoscopic diagnosis assistance and endoscopic surgical procedures. Artificial intelligence, especially machine learning or deep learning, is obtaining great attention from various fields. Pattern recognition systems are actively used in many applications and are becoming parts of social infrastructure. Most popular pattern recognition systems are smart phones. Medical AI is also one of active research fields in this area. Its ancestor is computer assisted diagnosis of chest X-ray or experts system like as dialog system. Deep neural network boosted such researches with improvements of methodology and computing technology. Endoscopic procedure assistance is one of hot topics in medical AI. It includes real-time detection and diagnosis of endoscopic procedures (direct assistance) and workflow analysis (indirect assistance). AI will assist medical staff and patients directly way and indirectly way. As an example of direct assistance, we have recently developed AI-assistance system for super-magnified endoscope. It outputs pathological classification of a colonic polyp from super-magnified endoscopic views of the surface of a colonic polyp in real time. This system obtained governmental approval as a medical device. Real-time automated detection of colonic poly has been achieved. Autonomous control of endoscopic robot is also one of example. Anatomical structures are recognized by AI from endoscopic views and such information is forwarded to robot control. One of indirect assistance is surgical workflow analysis. Many researches have been conducted for surgical scene analysis from endoscopic surgery videos based on AI. Off-line analysis of endoscopic videos for surgical skill assessment is also the area of medical AI. This talk will show several examples of AI in endoscopic procedures and give the audience some perspectives of this field.

Bio: Prof. Kensaku Mori has received the B.S degree in electronics engineering, the M.S degree in Information Engineering, and the Ph.D in Information Engineering from Nagoya University, Japan, under the supervision of Prof. Jun-ichiro Toriwaki, in 1992, 1994 and 1996 respectively. He was a research fellow of the Japanese Society for the Promotion of Science (JSPS) from 1994 to 1997, Research Associate at Department of Computational Science and Engineering, Nagoya University from 1997 to 2000, an assistant professor in 2000. He was Associate Professor at the Research Center for Advance Waste and Emission Management of Nagoya University from 2001 to 2003. He was also Visiting Associate Professor at Department of Neurosurgery, Stanford University from 2001 to 2002. He was Associate Professor of the Graduate School of Information Science, Nagoya University from 2003 to 2009. He has been Professor of Information and Communications Headquarters, Nagoya University since 2009. In 2016, he started his services as the Directory of Information Technology Center, Nagoya University. In 2017, he was appointed as the Vice Chair of Information and Information and Communication, Nagoya University. He has been a Professor of Graduate School of Informatics, Nagoya University since 2017. His current research interests include three dimensional image processing, computer graphics, virtual reality and their applications to medical image. Computer aided diagnosis and surgery are his major active research fields. Recently AI-based colonoscope diagnosis system developed in his laboratory has obtained an official certificate as a medical device. He has received many awards from several institutes includes the Young Researcher Award, Ministry of Education, Culture, Sports, the best paper awards from the Japanese Society of Medical Imaging Technology. He served as the general chair of the 16th international conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2013). He was elected as the President of the International Society of Computer Aided Surgery (ISCAS) in 2018. He was the Chair of SPIE Medical Imaging CAD conference in 2018 and 2019. He is a member o Institute of Electronics, Information and Communication Engineering of Japan, Japanese Society of Biomedical Engineering, and Japanese Society of Medical Imaging Technology, MICCAI, IEEE, and SPIE.