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:
- Cardiac Radiology
- Informatics
- Physics and Basic Science
- Artificial Intelligence
- Biomarkers/Quantitative Imaging
- Computed Tomography
- Magnetic Resonance Imaging
- Research and Statistical Methods
Learning Objectives:
- Identify current opportunities for artificial intelligence (AI) to improve clinical workflows and diagnostic capabilities in cardiac imaging.
- Apply foundational concepts necessary for evaluation of new AI technologies.
- Recognize fields of interest for future AI development to improve diagnosis and management of cardiovascular disease.
This enduring material is estimated to take 1 hour to complete.
Start Date: 4/8/2024
End Date for CME Eligibility/Online Expiration Date: 4/7/2027
This educational activity was originally presented at the RSNA 2023 Annual Meeting and Scientific Assembly.
Faculty:
- Damini Dey, PhD
- Albert Hsiao, MD, PhD
- Marly VanAssen, MSc, PhD
Planners:
- Karen G. Ordovas, MD
- Carole J. Dennie, FRCPC
- Diana Litmanovich, MD
- Michael F. Morris, MD
- Ming-Yen Ng, BMBS, FRCR
- Prabhakar Rajiah, MD, FRCR
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.
Faculty:
- Albert Hsiao, MD, PhD: Grant/Research Support, GE Healthcare, Bayer AG, AIXScan, KA Imaging; Consultant, Tempus.
- Damini Dey, PhD: Software royalties, Cedars-Sinai Medical Center.
Planners:
- Carole J. Dennie, FRCPC: Consultant, AstraZeneca; Speaker honorarium, Boehringer Ingelheim.
- Diana Litmanovich, MD: Lecturer, Coreline.
- Michael F. Morris, MD: Speaker's Bureau, Medtronic, Heartflow.
- Ming-Yen Ng, BMBS, FRCR: Financial/Material Support, Circle CVI, Bayer, GE, TeraRecon, Arterys.
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/Basic Member Rate: $55.00
Standard Member/Full Access 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.