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 | ||
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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
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10:00-10:15 | Questions & Answers
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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
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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
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11:40-12:00 | Machine Learning at Various Points in the Imaging Chain - Katherine P. Andriole, PhD
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12:00-12:15 | Questions & Answers
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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
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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
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14:25-14:45 | Questions You Should Ask Your Deep Learning Vendor Before Implementation - Luciano M. Prevedello, MD, MPH
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14:45-15:00 | Questions & Answers
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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
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16:00-16:15 | Questions & Answers
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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
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17:05-17:25 | Who Controls Responsibility of the Diagnosis in the Era of AI: Man or Machine? - Marc Zins, MD
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17:25-17:45 | Controversies in Deep Learning - Luciano M. Prevedello, MD, MPH
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17:45-18:00 | Questions & Answers
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