About the Workshop on AI+Radiology
Wednesday, September 11, 2019
8:30 a.m. – 5:30 p.m.
Preceded by breakfast at 7:30 a.m. and followed by happy hour reception at 5:30 p.m.
Simpson Querrey Biomedical Research Center
303 E. Superior St.
Chicago, Illinois 60611
The Workshop will bring together radiologists and computer scientists with the purpose of fostering collaboration and inspiring innovation in the use of AI and machine learning in imaging science and other aspects of radiology.
Workshop will be preceded by:
Grand Rounds “Primer in Machine Learning for Radiologists”
Tuesday, September 10, 2019, at 5 p.m.
Pritzker Auditorium, Third Floor
Feinberg Pavilion, Northwestern Memorial Hospital
251 E Huron St.
Chicago, Illinois 60611
There is no charge for participation in the Workshop or in the Grand Rounds Primer session. Please note that registration for the Workshop is now closed.
This free event is sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering at McCormick School of Engineering, and by the Department of Radiology at Northwestern University Feinberg School of Medicine:
Workshop Highlights
Presentations on the power of large-group MD-PhD scientific collaborations to create innovative approaches to using AI and machine learning in radiology and pathology
Case studies of problems facing radiologists aimed at informing AI researchers
Discussions of the opportunities for advancing technology from AI researchers aimed at informing radiologists
Lightning talks by Northwestern researchers
Networking opportunities
Panel discussion on AI in Radiology: Friend or Foe?
Keynote Speaker
Curtis P. Langlotz, MD, PhD
Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford University; Professor of Radiology and Biomedical Informatics, Stanford University School of Medicine; Associate Chair for Information Systems, Department of Radiology, Stanford University; Medical Informatics Director for Radiology, Stanford Health Care
Program Speakers
Peter D. Chang, MD
Co-Director, Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), University of California, Irvine; Assistant Professor-in-Residence, Department of Radiological Sciences, Department of Computer Science, and Department of Pathology and Laboratory Medicine, University of California, Irvine; Co-Founder and CEO, Avicenna.ai, La Ciotat, France
Lee Cooper, PhD
Associate Professor and Director of the Division of Computational Pathology, Department of Pathology, Northwestern University Feinberg School of Medicine
Mozziyar Etemadi, MD, PhD
Resident, Department of Anesthesiology, Northwestern University Feinberg School of Medicine; Research Assistant Professor, Department of Bioengineering, McCormick School of Engineering, Northwestern University
Ross W. Filice, MD
Associate Professor and Chief of Imaging Informatics, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC; Clinical Informatics Scientist, National Center for Human Factors in Healthcare, MedStar Institute for Innovation, Washington, DC
MingDe Lin, PhD
Adjunct Assistant Professor of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, CT; Chief Engineer and Operations Manager, Yale Interventional Oncology Research Lab; Director of Clinical Research, North America, Visage Imaging
Yuan Luo, PhD
Assistant Professor of Preventive Medicine and (by courtesy) Computer Science and IEMS; Chief AI Scientist, Northwestern University Clinical and Translational Sciences Institute, Northwestern University Feinberg School of Medicine
Pallavi Tiwari, PhD
Director, Brain Image Computing (BrIC) Laboratory, Case Western Reserve University, Cleveland, OH; Assistant Professor of Biomedical Engineering, Case Western Reserve University, Cleveland, OH
Workshop Schedule
Tuesday, September 10
Pritzker Auditorium, Feinberg Pavilion
Northwestern Memorial Hospital
251 E Huron St, Chicago, IL
5 – 6 p.m.
Peter D. Chang
Grand Rounds: Primer in Machine Learning
Wednesday, September 11
Simpson Querrey Biomedical Research Center
Northwestern University
303 E. Superior St., Chicago, IL
7:30 – 8:30 a.m.
Continental breakfast
8:30 – 9:30 a.m.
Curtis Langlotz
Radiology in the Era of Artificial Intelligence
9:30 – 10:30 a.m.
Radiology Problems Solvable with AI from Radiology Subsections
10:30 – 10:45 a.m.
Coffee Break
10:45 – 11:30 a.m.
AI techniques and opportunities from Engineering and CS
11:30 a.m. – 12:15 p.m.
Peter D. Chang
Emerging Trends in Medical Deep Learning: Opportunities and Challenges
12:15 – 1:30 p.m.
Lunch in breakout sessions with speakers
1:30 – 1:50 p.m.
Pallavi Tiwari
AI and Radiomics in Neuro-oncology: Opportunities for Precision Medicine
1:50 – 2:10 p.m.
Lee Cooper
Computational Pathology
2:10 – 2:55 p.m.
Ross Filice
IT Logistics for AI Research
2:55 – 3:15 p.m.
Coffee Break
3:15 – 3:35 p.m.
Yuan Luo
Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
3:35 – 3:55 p.m.
MingDe Lin
Architecture for Translating Artificial Intelligence Ideas to Routine Clinical Workflow
in an Academic-Industry Partnership
3:55 – 4:15 p.m.
Mozziyar Etemadi
Middleware: The Most Meddlesome Malady of Machine Learning
4:15 – 4:55 p.m.
5-Minute Speed Talks
4:55 – 5:30 p.m.
Panel Discussion: AI in Radiology: Friend or Foe?
5:30 – 6:30 p.m.
Happy hour reception
Organizing Committee
Virginia B. Hill, MD
Assistant Professor, Neuroradiology, Department of Radiology, Northwestern University Feinberg School of Medicine
Todd B. Parrish, PhD
Professor of Radiology, Feinberg School of Medicine and (by courtesy) of Biomedical Engineering, McCormick School of Engineering, Northwestern University
Aggelos K. Katsaggelos, PhD
Joseph Cummings Professor of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University
Larry Birnbaum, PhD
Professor of Computer Science, McCormick School of Engineering, Northwestern University
Learn More
Questions about the Workshop on AI+Radiology can be directed to Professor Virginia Hill:
Email Professor Hill