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  • RSNA 2018 Spotlight Course - Paris, France
  • Course Program

  • Sunday, September 23
    Time Main Plenary Room
    8:30-8:50 AM Introduction to Day (Marc Zins, MD, Safwan Halabi, MD and An Tang, MD)
    8:50-10:05 AM Fundamental Concepts
      8:50-9:10 Getting Started: What is AI? (Luke Oakden-Rayner, MD)
    9:10-9:35 AI Algorithms Illustrated: What You Need to Know (Katherine Andriole, PhD)
    9:35-9:55 Neural Networks: The Learning Process (An Tang, MD, MSc, FRCPC)
    9:55-10:05 Question & Answer Session
    10:05-10:30 AM Networking Break & Exhibition
    10:30-11:45 AM How to Get Started
      10:30-10:50 Education: How to Learn AI (How to Get Started) (Safwan Halabi, MD)
    10:50-11:15 Research and Development: How to Get Started (or How I Do It) (Katherine Andriole, PhD)
    11:15-11:35 Clinical Applications and AI Workflow: An Overview (Kristen Yeom, MD)
    11:35-11:45 Question & Answer Session
    11:45 AM-1:00 PM Lunch
    1:00-2:15 PM Use Case #1: Detection of Anomalies
      1:00-1:20 How Does It Work? (Concepts) (Katherine Andriole, PhD)
    1:20-1:45 Applications (Overview of State of the Art) (Marie-Pierre Revel, MD, PhD)
    1:45-2:05 Implementation (Software in Action) (Guillaume Chassagnon, MD)
    2:05-2:15 Question & Answer Session
    2:15-3:30 PM Use Case #2: Computer-Aided Diagnosis
      2:15-2:35 How Does It Work? (Concepts) (Hugh Harvey, MD)
    2:35-3:00 Applications (Overview of State of the Art) (Luke Oakden-Rayner, MD)
    3:00-3:20 Implementation (Software in Action) 
    3:20-3:30 Question & Answer Session
    3:30-4:00 PM Networking Break & Exhibition
    4:00-5:15 PM Use Case #3: Radiomics
      4:00-4:20 How Does It Work? (Concepts) (Laure Fournier, MD, PhD)
    4:20-4:45 Applications (Overview of State of the Art) (Kristen Yeom, MD)
    4:45-5:05 Implementation (Software in Action) (Laure Fournier, MD, PhD and Luke Oakden-Rayner, MD)
    5:05-5:15 Question & Answer Session
    5:15-6:00 PM To Be Determined

     

  • Monday, September 24
    Time Main Plenary Room
    8:30-8:50 AM Introduction to Day & Society Updates
    8:50-10:05 AM Use Case #4: Workflow Optimization and Quality Assurance
      8:50-9:10 How Does It Work? (Concepts) (Erik R. Ranschaert, MD, PhD)
    9:10-9:35 AI in Clinical Practice: Maximizing Value with Integration, Workflow and Customer Focus (Nabile Safdar, MD, MPH)
    9:35-9:55 Implementation (Software in Action) (Katherine Andriole, PhD)
    9:55-10:05 Question & Answer Session 
    10:05-10:30 AM Networking Break & Exhibition
    10:30-11:45 AM Use Case #5: Grading and Classification
      10:30-10:50 How Does It Work? (Concepts) (Safwan Halabi, MD)
    10:50-11:15 Applications (Overview of State of the Art) (Kristen Yeom, MD) 
    11:15-11:35 Implementation (Software in Action) 
    11:35-11:45 Question & Answer Session
    11:45 AM-1:00 PM Lunch
    1:00-2:15 PM Use Case #6: Natural Language Processing, Computer-Assisted Reporting, and Knowledge Management
      1:00-1:20 Panel Discussion: Academics & Industry (Katherine Andriole, PhD, Nabile Safdar, MD, MPH and Industry with Moderation Led by Marc Zins, MD)
    1:20-1:45
    1:45-2:05
    2:05-2:15 Question & Answer Session
    2:15-3:30 PM Implementation
      2:15-2:35 Data: Readiness, Structure and Size (Hugh Harvey, MD)
    2:35-3:00 People: The Stakeholders (Erik R. Ranschaert, MD, PhD)
    3:00-3:20 The ABCs of Navigating Your Healthcare System to Start a Program in AI: Approvals, Budgets, Compliance and More (Nabile Safdar, MD, MPH)
    3:20-3:30 Question & Answer Session
    3:30-4:00 PM Networking Break & Exhibition
    4:00-5:15 PM Ethical, Legal and Social Implications
      4:00-4:20 The European Perspective (Erik R. Ranschaert, MD, PhD)
    4:20-4:45 The Canadian Perspective (An Tang, MD, MSc, FRCPC)
    4:45-5:05 Fundamental Ethics of AI Development and Implementation (Nabile Safdar, MD, MPH)
    5:05-5:15 Question & Answer Session
    5:15-6:00 PM To Be Determined

     

  • Space is Limited. Demand is High.
    Register Now