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
- Physics and Basic Science
- Artificial Intelligence
Learning Objectives:
- Identify how data quality and data size affect the performance and generalizability of deep neural network models.
- Recognize practical methods for series and study selection for clinically deployed AI models, common issues that arise in deployment, and several techniques for evaluating AI in an ongoing fashion.
- Review the process and to demonstrate methods and tools for used to collect and prepare clinical data for AI model development.
This enduring material is estimated to take 1 hour to complete.
Start Date: 5/3/2023
End Date for CME Eligibility/Online Expiration Date: 5/2/2026
Faculty:
- John W. Garrett, PhD
- Zhihua Qi, PhD
- Ran Zhang, PhD
Planners:
- Sanjeev Bhalla, MD
- Guang-Hong Chen, PhD
- Elizabeth A. Krupinski, PhD
- Katharine Lampen-Sachart, MD
- Carolyn C. Meltzer, MD
- Jorge A. Soto, MD
- Erik M. Velez, MD
- Sergio A Criales Vera, MD
- Meike W. Vernooij, MD, PhD
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.
Planners:
- Sanjeev Bhalla, MD: Panelist, Precisa Gravimetrics SA.
- Jorge A. Soto, MD: Royalties, Reed Elsevier.
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.
To earn CME credit, participants must watch the full length of the recording and complete the course evaluation.
RSNA designates this enduring material for a maximum of 1.00 AMA PRA Category 1 Credit™. 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.