• Introduce learners to the RSNA AI Education Program and provide a brief history of AI and medical imaging
• Review the importance of identifying good use cases for AI
• Provide an overview of content that will focus on evaluating AI algorithms and implementing them into clinical practice.

This Other Activity (blended enduring material and simulation) is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.

Faculty:

• Adam Flanders MD
• Maryellen Giger, PhD
• Curtis P. Langlotz, MD, PhD
• Matthew Morgan, MD
• Linda Moy, MD
• George Shih, MD

• Examine the importance and key elements of data curation
• Demonstrate the importance of matching the data source with the intended use of the AI model
• Demonstrate various de-identification methods
• Illustrate various preprocessing steps
• To explain how to estimate the appropriate sample size and how to partition your data

This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete. This activity has not been designated for continuing medical education credit.

Faculty:

• Katherine P. Andriole, PhD FSIIM
• Errol Colak, MD, FRCPC
• Tessa S. Cook, MD PhD CIIP FSIIM
• Adam Flanders, MD
• John B. Freymann
• Marc D. Kohli, MD
• Steve Langer, PhD, FSIIM
• John Mongan, MD, PhD
• Matthew Morgan, MD
• Linda Moy, MD
• George Shih, MD

• Provide learners with an overview of data annotation
• Provide learners with an overview of various machine learning models and select the most appropriate option for a specific clinical scenario
• Demonstrate various de-identification methods
• Discuss key concepts for training and validating an AI model
• Explain potential pitfalls of model building and identify various metrics used to measure a model’s performance

This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete.

Faculty:

• Judy Wawira Gichoya, MBChB, MS
• Jayashree Kalpathy-Cramer, MS, PhD
• Yvonne Lui, MD
• John Mongan, MD, PhD
• John B. Freymann
• Marc D. Kohli, MD
• Matthew Morgan, MD
• Linda Moy, MD

Disclosure Statements:
RSNA controls the planning, development, and delivery of this CME activity and will strictly adhere to the Standards for Integrity and Independence in Accredited Continuing Education established by the Accreditation Council for Continuing Medical Education (ACCME).

Listed below are all the financial relationships provided by individuals in a position to influence and/or control CME activity content. All relevant financial relationships listed for these individuals have been mitigated. Please note that any individuals not listed below have reported no financial relationships (currently or within the past 24 months) with any ineligible company producing, marketing, selling, re-selling, or distributing health care products used on or by patients. 

• Judy Wawira Gichoya, MBChB, MS: Consultant, Cook Group Incorporated; Advisor, Boston Scientific Corporation.
• Jayashree Kalpathy-Cramer: Institutional Research Grant, General Electric Company, F. Hoffmann-La Roche Ltd.
• Yvonne Lui: Advisor, Bold Brain Ventures; Research collaboration, Siemens AG.
• John Mongan, MD, PhD: Research Grant, General Electric Company; Royalties, General Electric Company.
• Matthew Morgan, MD: Consultant, Reed Elsevier.
• Linda Moy, MD: Grant, Siemens AG; Advisory Board, Lunit Inc, iCad, Inc.

Accreditation and Designation Statements:
The Radiological Society of North America (RSNA) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

RSNA designates this Other activity (blended enduring and simulation) for a maximum of 1.50 AMA PRA Category 1 Credits ™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

• Train a detection module with annotated datasets
• Edit python coding
• Validate the newly trained model

This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.

Faculty:

• Felipe C. Kitamura, MD, PhD
• Paras Lakhani, MD
• George Shih, MD

• Provide learners with an overview of data annotation
• Provide learners with an overview of various machine learning models and select the most appropriate option for a specific clinical scenario
• Demonstrate various de-identification methods
• Discuss key concepts for training and validating an AI model
• Explain potential pitfalls of model building and identify various metrics used to measure a model’s performance

This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.

Faculty:

• Fiona Gilbert, MD
• Vicky Goh, MBBCh
• Chuck Kahn, MD
• Nina Kottler MD, MS
• Paras Lakhani, MD
• Sharmila Majumdar, PhD
• Bhavik N. Patel, MD, MBA, FSAR, FSABI
• Matthew Morgan, MD
• Linda Moy, MD
• Ioannis Sechopoulos, PhD
• George Shih, MD

• Interpret core ethical concepts and frameworks of AI in medicine
• Demonstrate the ethics of data sharing and analysis, AI algorithms, and AI clinical implementation
• Assess potential dangers of AI and formulate strategies for responsible AI integration

This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.

Faculty:

• Barbara Barry, PhD
• Dania Daye, MD, PhD
• Raym Geis, MD, FACR, FSIIM
• Richard Gunderman, MD, PhD
• Marta E. Heilbrun, MD, MS
• David B. Larson, MD, MBA
• Matthew Morgan, MD
• Linda Moy, MD
• George Shih, MD
• Caroline Reinhold, M.D., M.Sc.

• Identify the important elements of vendor management
• Assess the readiness of your practice for implementation of an AI product
• Evaluate evolving AI standards and real-world uses of AI in radiology

This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour and 45 minutes to complete. This activity has not been designated for continuing medical education credit.

Faculty:

• Paul Chang, MD
• Adam Flanders, MD
• Brad Genereaux
• Judy Gichoya, MBChB, MS
• Elmar Kotter, MD, MSc
• Nina Kottler, MD, MS
• Matthew Morgan, MD
• Linda Moy, MD
• Robert M. Nishikawa, PhD
• Mathias Prokop, MD, PhD
• Erik Ranschaert, MD, PhD
• George Shih, MD
• Bettina Siewert, MD