November 18-20, 2020 - Okinawa, Japan
Dr. Carmen C. Y. Poon
Division of Biomedical Engineering Research
Department of Surgery, Faculty of Medicine.
Chinese University of Hong Kong, China
Therapeutic endoscopy is a cornerstone to screen and prevent colorectal cancers. Nevertheless, polyps can be missed or misdiagnosed during colonoscopy. By using large non-medical and endoscopic databases, we have designed a deep-learning-based model, named “Artificial Endoscopist (a.k.a. AI-doscopist)”, to recognise colonic neoplasia during colonoscopy. AI-doscopist was trained and tested with over millions of images, labelled frame-by-frame with the presence, location, and type of colorectal polyps. Our initial study suggested that AI-doscpist can achieve similar detection rates as the endoscopists. Moreover, if AI-doscopist were to be used in real-time, it can potentially assist endoscopists in detecting one more patient with polyp in every 20-33 colonoscopies.
How to improve visual perception of retinal prosthesis users:
image optimization processing strategies
Professor Xinyu Chai
Dr. Carmen C. Y. Poon
Professor Xinyu Chai
School of Biomedical Engineering
Shanghai Jiao Tong University, Shanghai, China
AI-doscopist: A Deep Learning-based Model for Real-time
Diagnosis of Cancer during Therapeutic Endoscopy.
Prof. Xinyu Chai Biography
Dr. Xinyu Chai is full Professor and Group Leader, Visual Science & Rehabilitation Engineering Laboratory, School of Biomedical Engineering, Shanghai Jiao Tong University (SJTU). Dr. Xinyu Chai received the B.S. degree in radio technology from Zhengzhou University, in 1984, the M.S. degree in biomedical engineering form Xi’an Jiao Tong University, in 1991, and the Ph.D. degree in biomedical engineering from the Xi’an Jiaotong University in 1998. From 1999 to 2001, Dr. Chai conducted postdoctoral research at SJTU. He then worked as Associate- and Full Professor of School of Life Sciences and Biotechnology at SJTU (2001-2011). Currently he is a Full Professor in School of Biomedical Engineering of the SJTU. He presided over the five projects of the NSFC Program, two projects of 863 Program, two projects of 973 Program, two projects of the National Key Technology R&D Program and a number of enterprises research and development projects. He has published more than 180 peer-reviewed journal articles and conference papers, two book chapters, and 18 China issued patents. He has also been honored by the Natural Science Award of Shanghai Municipal Government. He is a member of the editorial board of Interdisciplinary Sciences: Computational Life Sciences. His research has long been focused on visual function rehabilitation and visual prosthesis; artificial vision information processing and optimizing; the optical imaging based on intrinsic signals and photoacoustic imaging technology.
Dr. Carmen Biography
Dr. Carmen Poon received the B.A.Sc. in Engineering Science, M.A.Sc. in Biomaterials and Biomedical Engineering & Electrical and Computer Engineering at University of Toronto. She completed her Ph.D. in Electronic Engineering at The Chinese University of Hong Kong (CU), and later joined the Department of Surgery of CU Medicine as a faculty member in 2012. Her main research interests include wearable sensing and endoscopic informatics that have potential to change surgical practices. Several pieces of her works in these areas have been rated Highly Cited Papers by ISI Web of Science (2015-2019) and collectively, her works have been cited 2500 times in Scopus (as of Mar. 2019).
Carmen is serving as Conference Chair of the 16 th International Conference on Wearable and Implantable Body Sensor Networks, which will be held in Chicago, USA, 2019. She has served as Chair of the IEEE Engineering in Medicine and Biology Society (EMBS) Technical Committee on Wearable Biomedical Sensors and Systems (2016-2017), EMBS Administrative Committee member (2014-2016), and Managing Editor for IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2009-2016). She now serves on the Editorial Boards for several international peer-reviewed journals published by IEEE, IOP, Elsevier and ACM.
Carmen is a Senior Member of IEEE and a Distinguished Lecturer of EMBS. She received the IFMBE/IAMBE Early Career Award awarded by International Federation of Medical and Biological Engineering / The International Academy of Medical and Biological Engineering in 2015, and the IEEE-EMBS Academic Early Career Achievement Award “for contributions to wearable sensing and endoscopic surgery” in 2018."