Course program

Build your knowledge with panel discussions and sessions led by top experts in medical imaging applications of artificial intelligence (AI).

Interested in attending? Register today for Radiology in the Age of AI.

Course learning objectives

After attending this course, participants will be able to:

  • Review the origins of AI and its application to medical imaging
  • Demonstrate the role of AI throughout the image life cycle, including image creation, quality control, triage, detection, differential diagnosis and reporting
  • Understand the basic tools and techniques for AI and machine learning and their pitfalls
  • Assess the progress toward clinically useful AI systems
  • Learn how non-computer scientists can read and understand an AI paper and evaluate the clinical applicability of AI algorithms
Friday, May 31, 2019
Time Main Plenary Room
8:00 - 8:15 AM  Introduction to the Day: Udo Hoffmann, MD, MPH, Curtis P. Langlotz, MD, PhD, Matthew P. Lungren, MD, MPH
8:15 - 9:15 AM Keynote Speaker
  AI is the New Electricity: The Disruptive Power of AI Applications in Medical Imaging - Andrew Y. Ng, PhD
  Fireside Chat and Question & Answer
9:15 - 10:05 AM  Intro to AI in Medical Imaging
  Moderators: Charles E. Kahn Jr., MD, MS, Curtis P. Langlotz, MD, PhD
  9:15-9:30 AI in Radiology: Back to the Future - Curtis P. Langlotz, MD, PhD
  9:30-9:45 AI Research in Clinical Radiology: Current State of the Art - Charles E. Kahn Jr., MD, MS
  9:45-10:05 Panel: Clinical Practice in the AI Revolution: Impact on Health Care Enterprise - Charles E. Kahn Jr., MD, MS, Curtis P. Langlotz, MD, PhD
10:05 - 10:30 AM  Networking Break
10:30 - 11:20 AM AI, Imaging, and Population Health
  Moderators: Hugo Aerts, PhD, Udo Hoffmann, MD, MPH
  10:30-10:40 AI: Raising the Contribution of Imaging to Public Health - Udo Hoffmann, MD, MPH
  10:40-10:50 Beyond Diagnosis: Imaging-based Deep Learning for Prognosis - Michael T. Lu, MD, MPH
  10:50-11:00 Xray4ALL: Point of Care AI Imaging Applications in Global Health Settings (+ live demo) - Matthew P. Lungren, MD, MPH, Pranav Rajpurkar, PhD
  11:00-11:20 Panel: Opportunities and Risks and AI in Population Health - Hugo Aerts, PhD, Udo Hoffmann, MD, MPH, Michael T. Lu, MD, MPH, Matthew P. Lungren, MD, MPH
11:30 AM - 1:00 PM Lunch provided by RSNA
  11:45-12:45

Optimizing Mammography Business Practices & Efficiencies, presented by Hologic

  11:45-12:45

The Transformative Role of AI and the Cloud in Unlocking the Full Potential of Medical imaging – a progress report, presented by Arterys

1:00 - 2:00 PM Practical Steps for Building an AI Healthcare Application in Your Program
  Moderators: Safwan Halabi, MD, Hugh Harvey MBBS BSc
  1:00-1:10 AI in a Large Integrated Health Care System - Keith S. White, MD
  1:10-1:20 Breaking Down the Mystery of the Black Box in AI (XAI) - Safwan Halabi, MD
  1:20-1:30 What Radiologists Need to Know about Data Science - Hugh Harvey, MBBS BSc
  1:30-1:40 Bias and Implications for Medical AI - Matthew P. Lungren, MD, MPH
  1:40-2:00 Panel: Challenges and Opportunities for Medical AI Programs
2:00 - 3:00 PM AI for Large Scale Multi-institutional Collaboration
  Moderators: Jayashree Kalpathy-Cramer, MS, PhD, Daniel L. Rubin, MD, MS
  2:00-2:10 Ethical Considerations in the Use of Clinical Imaging Data for Artificial Intelligence- David B. Larson, MD, MBA
  2:10-2:20 How to Capture the Complex Biology of Disease and AI - Hugo Aerts, PhD
  2:20-2:30 Applications for AI in Complex Health Care Data - Jayashree Kalpathy-Cramer, MS, PhD
  2:30-2:40 AI in Predictive Modeling - Daniel L. Rubin, MD, MS
  2:40-3:00 Panel: Role of AI in Precision Health Initiatives: Salvation or False Hope
3:00 - 3:15 PM Break
3:15 - 4:00 PM Implementing AI: The Last Mile
  Moderators: Udo Hoffmann, MD, MPH, Matthew P. Lungren, MD, MPH
  3:15-4:00 Panel Presentation:
  • Imaging AI - Beyond the Science, presented by Infervision
  • Changing the Game with AI-driven Radiology Workflow, presented by Nuance
  • How AI Enables 4x Faster Scans and Productivity Gains for Clinical Radiology, presented by Subtle Medical
4:00 - 4:30 PM Networking Break
4:30 - 5:30 PM Imaging AI Applications
  4:30-5:30 AI Conversation Series with Eliot Siegel, MD and Jeff Sorenson, presented by TeraRecon
5:30 - 6:30 PM Networking Reception
 
Saturday, June 1, 2019
Time Main Plenary Room
8:00 - 8:15 AM Introduction to the Day: Udo Hoffmann, MD, MPH, Matthew P. Lungren, MD, MPH
8:15 - 9:15 AM Keynote Speaker
  Digitally Driven: Health Care in the Era of Precision Health - Lloyd B. Minor, MD
9:15-10:15 AM Clinical AI Application Highlights session 1
  Moderators: Udo Hoffmann, MD, MPH, Koen Nieman, MD, PhD
  9:15-9:30 Cardiac - Koen Nieman, MD, PhD
  9:30-9:45 AI in Clinical Trials and Established Cohorts - Michael T. Lu, MD, MPH
  9:45-10:00 AI in Breast Imaging - Hugh Harvey, MBBS BSc
  10:00-10:15 Panel: AI in CV Imaging—A Revolution or an Upgrade?
10:15 - 10:30 AM Break
10:30-11:15 AM Clinical AI Application Highlights session 2
  Moderators: Hugo Aerts, PhD, Kristen Yeom, MD
  10:30-10:40 AI in Clinical Oncology Therapy Response - Hugo Aerts, PhD
  10:40-10:50 AI in Body Imaging - Bhavik N. Patel, MD, MBA
  10:50-11:00 AI Applications in Clinical Neuroradiology - Kristen Yeom, MD
  11:00-11:15 Panel: AI in Neuroimaging: Highest Yield Areas for Immediate Impact
11:15 AM–12:00 PM Question and Answer Panel
Submit your questions via Twitter using #RSNASpotlight
Moderator: Charles E. Kahn Jr., MD, MS
  Panelists: Hugo Aerts, PhD, Hugh Harvey, MBBS BSc, Udo Hoffmann, MD, MPH, Matthew P. Lungren, MD, MPH,  Kristen Yeom, MD, David B. Larson, MD, MBA