2022 3rd International Symposium on Artificial Intelligence for Medicine Sciences(ISAIMS 2022)


Prof. Zhisheng Huang

Free University (VU), Amsterdam, The Netherlands

EiC of Journal of Artificial Intelligence for Medical Sciences


Professor Zhisheng Huang is a tenured senior researcher at the Department of Artificial Intelligence of VU University Amsterdam, the Netherlands, and a full professor at the School of Computer Science and Engineering of Wuhan University of Science and Technology, China. Prof. Huang obtained a doctorate degree in computer science and logic at the University of Amsterdam in 1994. He has published more than 200 papers, and more than 9 books in Artificial Intelligence, logics, and multimedia. He received the best paper award for the paper entitled “Feasibility Estimation for Clinical Trials” at the 2014 International Conference on Health Informatics (HEALTHINF/BIOSTEC).


Prof. Hesheng Wang

Institute of Medical Robotics, Shanghai Jiaotong University, China


Prof. Hesheng Wang joined Shanghai Jiao Tong University as an Associate Professsor in 2009. Currently, he is a Professor of Department of Automation, Shanghai Jiao Tong University, China. He worked as a visiting professor at University of Zurich in Switzerland. His research interests include visual servoing, service robot, robot control and computer vision. Prof. Wang has published about 100 papers in refereed professional journals and international conference proceedings. He has received a number of best paper awards from major international conferences in robotics and automation. He is an associate editor of Robotics and Biomimetics, Assembly Automation, International Journal of Humanoid Robotics and IEEE Transactions on Robotics. He was a guest editor of Mathematical Problems in Engineering and Journal of Applied Mathematics. He served as associate editor in Conference Editorial Board of IEEE Robotics and Automation Society from 2011 to 2015. Prof. Wang is actively involved in the organization of international conferences. He served as an organizing committee member for many international conferences such as ICRA and IROS. He was the program chair of The 2014 IEEE International Conference on Robotics and Biomimetics. He is the general chair of The 2016 IEEE International Conference on Real-time Computing and Robotics and the program chair of The 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. He was a recipient of Shanghai Rising Star Award in 2014. He is a Senior Member of IEEE.


Prof. Kenji Suzuki

Director, BioMedical Artificial Intelligence Research Unit (BMAI), Institute of Innovative Research (IIR)

Vice-Chair, Department of Information and Communications Engineering, School of Engineering

Tokyo Institute of Technology, Japan

Speech title: AI-aided Diagnosis and Virtual AI Imaging in Medicine


Deep learning becomes one of the most active areas of research in many imaging fields, including medical imaging. My group has been actively studying on deep learning in medical imaging in the past 25 years, including one of the earliest deep-learning models for image processing, semantic segmentation, object enhancement, and classification of patterns in medical imaging. In this talk, AI-aided diagnostic systems (“AI doctor”) and deep-learning-based imaging for diagnosis (“Virtual AI imaging”) are introduced, including 1) intelligent AI systems for cancer detection and diagnosis in medical images, and 2) virtual AI imaging systems for separation of bones from soft tissue in chest radiographs and those for radiation dose reduction in CT and mammography. Some of them have been commercialized via FDA approval in the U.S., including the first FDA-approved deep-learning product.


Kenji Suzuki, Ph.D. (Nagoya University) worked at Hitachi Medical Corp, Aichi Prefectural University, Japan, as a faculty member, in Department of Radiology, University of Chicago, as Assistant Professor, and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured). He is currently a Professor (Tenured) at Institute of Innovative Research, Tokyo Institute of Technology, Japan. He published more than 350 papers (including 116 peer-reviewed journal papers). He has been actively researching on deep learning in medical imaging and AI-aided diagnosis in the past 25 years, especially his early deep-learning model was proposed in 1994. His papers were cited more than 13,000 times, and his h-index is 55. He is inventor on 38 patents (including one of the earliest deep-learning patents), which were licensed to several companies and commercialized. He published 15 books and edited 16 journal special issues. He has been awarded numerous grants including NIH, NEDO, and JST grants, totaling $17M. He serves as Editors of 34 leading international journals including Pattern Recognition. He chaired 114 international conferences. He received 23 awards, including 3 Best Paper Awards in leading journals.