Medical imaging is one of the most promising application areas of artificial intelligence technologies. In recent years, with more and more mature AI technologies, various companies, including medical device vendors, internet companies and startups, have shown strong business interests in medical imaging AI. In particular, significant progress has shown in the productization of medical imaging AI.

For example, AI-based imaging recon has been embedded into scanners to drastically improve imaging speed and quality. AI-based triage has been used to prioritize reading tasks and improve workflow efficiency. AI-based assistant diagnosis has been integrated to the radiological workflow and improve diagnostic efficiency and accuracy.

On the other hand, however, some key questions remain unanswered.

“What is the role of AI technology in clinical workflow?”
“What kind of AI products will revolutionarily change the clinical workflow?”
“Besides radiologists, how could medical imaging AI help other clinicians?”
“What is the business model of medical imaging AI?”
“What are the key factors of AI companies’ success?”

In this year’s MICCAI, a dedicated industry forum is set-up for a multidisciplinary discussion of these interesting topics. Experts from different areas, including radiologists, clinicians, industrial leaders and investors, are invited to share their opinions and discuss the future directions of medical imaging AI.

MICCAI Industry Workshop will be held on Oct 13, 2019 at Room Espana II in the InterContinental Hotel.


To provide a platform for Radiologists, Physicians, Scholars, and Entrepreneurs from around the world to discuss the latest development of technologies on medical imaging and image guided intervention, the future technical trend in these areas, prospective of productization and commercialization of the technologies developed by the broad MICCAI community. The event will also provide a network to facilitate collaborations between clinical, research, and industry.


09:00-17:00, Oct. 13, 2019
Room Espana II in the InterContinental Hotel, Shenzhen
Expected Audience Size
Tentative Agenda

NoStartEndDurationTopicExternal speaker candidates
19:009:1515minOpening Remark
29:159:4530minRadiologists' View of Medical Imaging AIRon Summers
39:4510:1530minAI Technology from a Physician's PerspectiveYundai Chen
10:1510:3015minTea Break
410:3011:0030minRadiologists' View of Medical Imaging AIXiaoying Wang
511:0011:3030minAcademic view of Medical Imaging AIHairong Zheng
611:3012:0030minAcademic view of Medical Imaging AINassir Navab
12:0013:3090minLunch Break
713:4514:1530minInvited speaker from NIHBehrouz N. Shabestari
814:1514:3520minUnited Imaging IntelligenceYiqiang Zhan
914:3514:5520minIFlyTek HealthcareXiaodong Tao
1014:5515:1520minIntuitive SurgicalTao Zhao
1115:1515:3520minLunitKi Hwan Kim
15:3516:0025minTea Break
1216:0016:3030minOne Venture Company to talk about the capital environment going forward in the next few years Ruilin Zhao
1316:3017:0030minTraits and Trends of AI in Medical ImagingKevin Zhou


*Sorted by Last Name in Alphabetical Order
Yundai Chen
Director and Professor, Department of Cardiology, Chinese PLA General Hospital
Ki Hwan Kim
Vice President, Medical Affairs, Lunit Inc.
Nassir Navab
Director and Professor, the Computer Aided Medical Procedures (CAMP) research laboratories, Technical University of Munich and Johns Hopkins University
Behrouz Shabestari
Acting Director, the Division of Health Informatics Technologies, NIBIB
Ronald M. Summers
Senior Investigator, Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center
Xiaoying Wang
Director and Professor, Department of Radiology, Peking University First Hospital
Ruilin Zhao
Partner, CD Capital
Tao Zhao
Managing Principal, Intuitive Surgical Inc.
Hairong Zheng
Deputy Director, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Kevin Zhou
Professor, Institute of computing technology, Chinese academy of sciences


*Sorted by Last Name in Alphabetical Order
Xiaodong Tao
Yiqiang Zhan
United Imaging Intelligence (UII)