Course program

Learn how to start using the latest applications in artificial intelligence (AI) to improve the workflow in your practice. Register today for Comprehensive AI for Practicing Radiologists.

Course learning objectives

After attending this course, participants will be able to:

  • Identify learning strategies to stay informed on technical developments on artificial intelligence (AI) in radiology.
  • Learn current clinical applications of AI in radiology
  • Understand the ethical, legal and social implications of AI development and implementation in radiology.
Friday, May 3, 2019
Time One Main Plenary Room
8:45 - 9:00 Introduction to the Day - Nabile M. Safdar, MD, MPH, Marc Zins, MD
9:00 - 10:15 Fundamental Concepts
  9:00-9:40 The History of AI, and the Origins of Machine Learning and Deep Neural Networks - Curtis P. Langlotz, MD, PhD
  9:40-10:00 Introduction to Machine Learning in Medical Imaging: Excitement and Caution - Katherine P. Andriole, PhD
  10:00-10:15 Questions & Answers
10:15 - 10:45 Networking Break & Exhibition
10:45 - 12:00 How to Get Started
  10:45-11:05 Education: How to Learn AI (Resources) - Loic Boussel, MD
  11:05-11:25 Diving in to Machine Learning: How to Get Started - Katherine P. Andriole, PhD
  11:25-11:45 Clinical Applications and AI Workflow: An Overview - Bradley Erickson, MD, PhD
  11:45-12:00 Questions & Answers
12:15 - 13:45 Lunch Offsite – Venues Nearby 
13:30 - 14:45 Development of AI in Radiology: Research to Product
  13:30-13:50 How Does it Work? A Deeper Dive (Concepts) - Bradley J. Erickson, MD, PhD
  13:50-14:10 Research and Development of AI for Radiology (Process to Developing) - Bradley J. Erickson, MD, PhD
  14:10-14:30 What's Different About AI Now versus 10 Years Ago? - Luciano M. Prevedello, MD, MPH
  14:30-14:45 Questions & Answers
14:45 - 16:00 Clinical Applications
  14:45-15:05 The Use of Machine Learning for Anomaly Detection in Medical Imaging - Katherine P. Andriole, PhD
  15:05-15:25 Current Applications of AI in Radiology - Bradley Erickson, MD, PhD
  15:25-15:45 Clinical Applications of Natural Language Processing in Radiology - Curtis P. Langlotz, MD, PhD
  15:45-16:00 Questions & Answers
16:00 - 16:30 Networking Break & Exhibition
16:30 - 17:30 Corporate Sessions
  16:30-17:00 Power Your Imaging Archives for Radiomics/AI/ML Projects presented by MEDEXPRIM
  17:00-17:30 Industry Presentation by iCad
17:30 - 18:00 Networking Break & Exhibition
 
Saturday, May 4, 2019
Time One Main Plenary Room
8:00 - 8:15  Introduction to the Day - Nabile M. Safdar, MD, MPH, Marc Zins, MD
8:15 - 9:30 Multidisciplinary Approach to Deep Learning
  8:15-8:35 French National Health Datahub - Jean-Paul Beregi, MD, PhD
  8:35-9:05 Multidisciplinary Development of AI from Clinical Question to Algorithmic Results: Perspectives from a Data Scientist and a Radiologist - Marc Zins, MD, Roberto Ardon, PhD
  9:05-9:30 Questions & Answers
9:30 - 10:30 Corporate Sessions
  9:30-10:00 Best Practices to Integrate AI into the Workflow presented by Zebra Medical Vision
  10:00-10:30 Transforming the Mammography Enterprise Through AI Driven Imaging Fingerprints presented by Densitas
10:30 - 11:00 Networking Break & Exhibition
11:00 - 12:15 Workflow Optimization and Quality Assurance
  11:00-11:20 How Does It Work? (Concepts) - Erik R. Ranschaert, MD, PhD
  11:20-11:40 AI in Clinical Practice: Maximizing Value with Integration, Workflow and Customer Focus - Nabile M. Safdar, MD, MPH
  11:40-12:00 Machine Learning at Various Points in the Imaging Chain - Katherine P. Andriole, PhD
  12:00-12:15 Questions & Answers
12:15 - 13:45 Lunch Offsite – Venues Nearby 
13:45 - 15:00 Implementation
  13:45-14:05 People: The Stakeholders - Erik R. Ranschaert, MD, PhD
  14:05-14:25 The ABCs of Navigating Your Healthcare System to Start a Program in AI: Approvals, Budgets, Compliance and More - Nabile M. Safdar, MD, MPH
  14:25-14:45 Questions You Should Ask Your Deep Learning Vendor Before Implementation - Luciano M. Prevedello, MD, MPH
  14:45-15:00 Questions & Answers
15:00 - 16:15 Panel Discussion: Impact of AI on the Practice of Medicine and Radiology
  Moderated by Marc Zins, MD; Panel: Jean-Paul Beregi, MD, Loic Boussel, MD, Luciano M. Prevedello, MD, MPH, Curtis P. Langlotz, MD
  15:00-16:00 Panel Discussions
  16:00-16:15 Questions & Answers
16:15 - 16:45 Networking Break & Exhibition
16:45 - 18:00 Ethical, Legal, and Social Implications
  16:45-17:05 Fundamental Ethics of AI Development and Implementation - Nabile M. Safdar, MD, MPH
  17:05-17:25 Who Controls Responsibility of the Diagnosis in the Era of AI: Man or Machine? - Marc Zins, MD
  17:25-17:45 Controversies in Deep Learning - Luciano M. Prevedello, MD, MPH
  17:45-18:00 Questions & Answers