0 Item(s)
AI in Neuroradiology: Research, Implementation and Ethics (2022)
Keyword(s)
WEB29-2022, Webinar, Artificial Intelligence, Neuroradiology, Professionalism (including Ethics)
RSNA members with the Basic membership package will pay the non-member rate. Upgrade to Standard or Full Access Membership for complimentary access to RSNA online education.
Description
Join physician experts to learn the latest on upstream and downstream AI implementation and brain imaging in RSNA’s newest webinar: AI in Neuroradiology: Research, Implementation and Ethics. After a brief presentation, contribute to a panel discussion of experts each sharing a different perspective. Learn more about common neuroradiology AI applications, understand the obstacles to large scale, enterprise-level AI deployment as well as the gap between reported research and implementation. Participants will explore ethical concerns and brainstorm deployment solutions during this interactive session.
Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:
Learning Objectives:
This non-CME enduring material is estimated to take 1 hour to complete.
Start Date: 6/30/2022
Online Expiration Date: 6/29/2025
This educational activity was originally presented on 6/23/2022 as an interactive online webinar.
Faculty:
Price:
Non-member Rate: $0.00
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.
Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:
- Artificial Intelligence
- Neuroradiology
- Professionalism (including Ethics)
Learning Objectives:
- To review common applications for both upstream and downstream AI in neuroradiology.
- To understand the obstacles on large scale, enterprise-level deployment of AI solutions for neuroradiology, and brainstorm solutions to address these challenges.
- To pay specific attention to ethical considerations for these potential solutions.
This non-CME enduring material is estimated to take 1 hour to complete.
Start Date: 6/30/2022
Online Expiration Date: 6/29/2025
This educational activity was originally presented on 6/23/2022 as an interactive online webinar.
Faculty:
- Suzie Bash, MD
- Marc Kohli, MD
- Yvonne Lui, MD
- Luciano Prevedello, MD, MPH
- Max Wintermark, MD
Price:
Non-member Rate: $0.00
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.