Ethics of AI in Radiology Online Course, web
05/03/2025

Refresher Courses are sessions captured at past RSNA Annual Meetings focusing on themes of health care reform, payment models, research and innovation, patient-centered radiology, and advances in the different imaging modalities. Refresher Courses are targeted to diagnostic, interventional and oncologic radiologists and are designed to improve knowledge and competence in responding to the challenges and advancements in the field of radiology.

For ongoing education and resources, please visit RSNA’s Online Learning Center.

Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:

• Informatics
• Artificial Intelligence

Learning Objectives:

• Describe the value of radiology data for algorithm development and how to control access to it.
• Recognize different types of bias in radiology data.
• Relate ethical issues for machine learning and AI in radiology.
• Summarize unique aspects of transparency, fairness, and privacy when using AI in radiology.

This enduring material is estimated to take 45 minutes to complete.

Start Date: 5/4/2022
End Date for CME Eligibility/Online Expiration Date: 5/3/2025

This educational activity was originally presented at the RSNA 2021 Annual Meeting and Scientific Assembly.

Faculty:

• David Larson, MD, MBA
• Yvonne Lui, MD
• Julius Chapiro, 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 disclosures provided by individuals in a position to influence and/or control CME activity content. All the 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 entity producing, marketing, re-selling, or distributing health care goods or services consumed by, or used on, patients.

• David Larson, MD, MBA: Research Grant, Siemens AG ; Advisor, Bunkerhill Health; Shareholder, Bunkerhill Health.
• Yvonne Lui, MD: Research collaboration, Siemens AG; Advisor, Bold Brain Ventures.
• Julius Chapiro, MD: Research Grant, Guerbet SA, Koninklijke Philips NV, Boston Scientific Corporation; Consultant, Guerbet SA, Koninklijke Philips NV.
• Annual Meeting Program Planners

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.

This enduring material can be applied towards the ABR MOC Part 2 requirement (CME).

To earn CME credit, participants must watch the full-length of the recording and complete the course evaluation.

The RSNA designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Price:
Non-member Rate: $50.00
Member Rate: $0.00

Refund / Exchange Policy:
RSNA will not issue any refunds or exchanges for online only versions of educational products or activities purchased online. Please review the entire product or activity description prior to purchase.

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.