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

    Course Learning Objectives
    1. Identify learning strategies to stay informed on technical developments on artificial intelligence (AI) in radiology.
    2. Discuss the broad spectrum of potential use cases of AI in radiology, including: detection of anomalies, computer-aided diagnosis, radiomics, workflow optimization and quality assurance, grading and classification, natural language processing, computer-assisted reporting, and knowledge management.
    3. Recognize the ethical, legal and social implications of AI development and implementation in radiology.
  • Sunday, September 23
    Time Main Plenary Room
    8:30-8:45 Introduction to Day (Marc Zins, MD, Safwan Halabi, MD and An Tang, MD)
    8:45-9:55  Fundamental Concepts
      8:45-9:05 Getting Started: What is AI? (Luke Oakden-Rayner, MBBS)
    9:05-9:25 Introduction to Machine Learning in Medical Imaging: Excitement and Caution (Katherine Andriole, PhD)
    9:25-9:45 Neural Networks: The Learning Process (An Tang, MD, MSc, FRCPC)
    9:45-9:55 Question & Answer Session
     9:55-10:35  Networking Break & Exhibition
    10:35-12:05 How to Get Started
      10:35-10:55 Education: How to Learn AI (How to Get Started) (Safwan Halabi, MD)
    10:55-11:15 Diving in to Machine Learning: How to Get Started (Katherine Andriole, PhD)
    11:15-11:35 Clinical Applications and AI Workflow: An Overview (Kristen Yeom, MD)
    11:35-11:55 Transforming Interpretation Workflows through AI Experimentation & Responsible Access (Jeff Sorenson, President & CEO, TeraRecon)
    11:55-12:05 Question & Answer Session
    12:05-13:30  Lunch Offsite
    13:30-14:45  Use Case #1: Detection of Anomalies
      13:30-13:50 The Use of Machine Learning for Anomaly Detection in Medical Imaging (Katherine Andriole, PhD)
    13:50-14:15 Applications (Overview of State of the Art) (Marie-Pierre Revel, MD, PhD)
    14:15-14:35 Implementation (Software in Action) (Guillaume Chassagnon, MD)
    14:35-14:45 Question & Answer Session
    14:45-16:00  Use Case #2: Computer-Aided Diagnosis
      14:45-15:05 How Does It Work? (Concepts) (Hugh Harvey, MD)
    15:05-15:30 Applications (Overview of State of the Art) (Luke Oakden-Rayner, MBBS)
    15:30-15:50 Adoption of AI in Routine Clinical Practice (Mark-Jan Harte, CEO, Aidence B.V.) 
    15:50-16:00 Question & Answer Session
    16:00-16:45 Networking Break & Exhibition
    16:45-18:00  Use Case #3: Radiomics
      16:45-17:05 How Does It Work? (Concepts) (Laure Fournier, MD, PhD)
    17:05-17:30 Applications (Overview of State of the Art) (Kristen Yeom, MD)
    17:30-17:50 Implementation (Software in Action) (Laure Fournier, MD, PhD and Luke Oakden-Rayner, MBBS)
    17:50-18:00 Question & Answer Session


  • Monday, September 24
    Time Main Plenary Room
    8:30-8:50 Introduction to Day & Society Updates (Marc Zins, MD, Safwan Halabi, MD, An Tang, MD and Charles E. Kahn JR, MD)
    8:50-10:05  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 Machine Learning at Various Points in the Imaging Chain (Katherine Andriole, PhD)
    9:55-10:05 Question & Answer Session 
    10:05-10:45 Networking Break & Exhibition
    10:45-12:00 Use Case #5: Grading and Classification
      10:45-11:15 How Does It Work? (Concepts) (Safwan Halabi, MD)
    11:15-11:45 Applications (Overview of State of the Art) (Kristen Yeom, MD) 
    11:45-12:00 Question & Answer Session
    12:00-13:30  Lunch Offsite
    13:30-14:45  Use Case #6: Natural Language Processing, Computer-Assisted Reporting, and Knowledge Management
      13:30-14:30 Panel Discussion: Academics & Industry (Katherine Andriole, PhD, Nabile Safdar, MD, MPH and Kam Kafi, MD, Director of Clinical Strategy and Oncology at Imagia; with Moderation Led by Marc Zins, MD)
    14:30-14:45 Question & Answer Session
    14:45-16:00  Implementation 
      14:45-15:05 Data: Readiness, Structure and Size (Hugh Harvey, MD)
    15:05-15:30 People: The Stakeholders (Erik R. Ranschaert, MD, PhD)
    15:30-15:50 The ABCs of Navigating Your Healthcare System to Start a Program in AI: Approvals, Budgets, Compliance and More (Nabile Safdar, MD, MPH)
    15:50-16:00 Question & Answer Session
    16:00-16:45 Networking Break & Exhibition
    16:45-18:00  Ethical, Legal and Social Implications 
      16:45-17:05 The European Perspective (Erik R. Ranschaert, MD, PhD)
    17:05-17:30 The Canadian Perspective (An Tang, MD, MSc, FRCPC)
    17:30-17:50 Fundamental Ethics of AI Development and Implementation (Nabile Safdar, MD, MPH)
    17:50-18:00 Question & Answer Session


  • Space is Limited. Demand is High.
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