CAIIMI Delivered Medical Imaging AI Education Workshop to Radiology Trainees

The Center organized and hosted a virtual AI in Medical Imaging Educational/Research Workshop for Radiology Trainees and CAIIMI members via a Zoom Webinar on September, 8 2020. The workshop was intended to educate, benefit, and inspire clinical trainees to learn and participate in AI research and provide opportunities for collaborations. Twelve speakers participated giving various talks/lectures on topics from academic research, industry development, commercialization pathway, and AI regulations. Enclosed is the workshop agenda. 

AI in Medical Imaging: An Educational Workshop for Radiology Trainees
Agenda: 
10:00 – 10:05 Introductory remarks
Ashok Panigrahy, MD, Vice Chair: Clinical and Translational Imaging Research, Professor, Division of Pediatric Radiology
 
10:05 – 10:35 AI Innovation in Medical Imaging: A Convergence Approach
Shandong Wu, PhD, Associate Professor, Director, Center for AI Innovation in Medical Imaging
 
10:35 – 11:00 AI Methodology: What a Radiology Trainee Needs to Know
Rafael Ceschin, PhD, Assistant Professor of Radiology and Biomedical Informatics
 
11:00 – 11:15 AI for Imaging Diagnosis
Ki Hwan Kim, MD, PhD, VP and Chief Medical Officer, Lunit Inc.
 
11:15 – 11:30 AI for Imaging Acquisition
            Enhao Gong, PhD, Founder and CEO, Subtle Medical Inc.  
 
11:30 – 11:40 MD-PhD Collaboration Experience Sharing: A PhD’s Perspective
Dooman Arefan, PhD, Research Instructor of Radiology
 
11:40 – 11:50 MD-PhD Collaboration Experience Sharing: A MD’s Perspective
Matthew Pease, MD, Resident in UPMC Department of Neurosurgery
 
11:50 – 12:20 Break
 
12:20 – 12:35 AI Research & Commercialization: the Pittsburgh Health Data Alliance Pathway
Donald Taylor, PhD, MBA, co-Director, Center for Commercial Applications of Healthcare Data
 
12:35 – 1:00 Medical Image Analysis: An Overview
Hwang Seong Jae, PhD, Assistant Professor of Computer Science, Pitt
 
1:00 – 1:25 Amazon AWS: What Are Available for Radiologists to Learn and Exercise AI: An Overview
            AWS team member (Mr. Steve Fu)
 
1:25 – 1:40 AI in Pathology Imaging: UPMC’s experience  
Douglas Hartman, MD, Vice Chair for UPMC Pathology Informatics
 
1:40 – 2:05 AI in Medical Imaging: A Regulatory Scientist’s Perspective
           Weijie Chen, PhD, Research Physicist, FDA
 
2:05 – 2:25 Discussion and Q&A
 
2:25 – 2:30 Concluding remarks
Shandong Wu, PhD, Associate Professor, Director, Center for AI Innovation in Medical Imaging