OVERVIEW

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.

PURPOSE

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.

AGENDA

Time: 09:00-17:00, Oct. 13, 2019
Venue: Room Espana II in the InterContinental Hotel, Shenzhen
Expected Audience Size: 150
Tentative Agenda

No	Start	End	Duration	Topic	External speaker candidates
1	9:00	9:15	15min	Opening Remark
2	9:15	9:45	30min	Radiologists' View of Medical Imaging AI	Ron Summers
3	9:45	10:15	30min	AI Technology from a Physician's Perspective	Yundai Chen
	10:15	10:30	15min	Tea Break
4	10:30	11:00	30min	Radiologists' View of Medical Imaging AI	Xiaoying Wang
5	11:00	11:30	30min	Academic view of Medical Imaging AI	Hairong Zheng
6	11:30	12:00	30min	Academic view of Medical Imaging AI	Nassir Navab
	12:00	13:30	90min	Lunch Break
7	13:45	14:15	30min	Invited speaker from NIH	Behrouz N. Shabestari
8	14:15	14:35	20min	United Imaging Intelligence	Yiqiang Zhan
9	14:35	14:55	20min	IFlyTek Healthcare	Xiaodong Tao
10	14:55	15:15	20min	Intuitive Surgical	Tao Zhao
11	15:15	15:35	20min	Lunit	Ki Hwan Kim
	15:35	16:00	25min	Tea Break
12	16:00	16:30	30min	One Venture Company to talk about the capital environment going forward in the next few years	Ruilin Zhao
13	16:30	17:00	30min	Traits and Trends of AI in Medical Imaging	Kevin Zhou
-	17:00			Adjourn

SPEAKERS

*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