Attendees will gain insight into the implications of adopting LLMs in radiology, pros and cons of the technology, practical implementation strategies, the role LLMs can play in patient triage and workflow optimization, and best practices for addressing biases in LLMs.
Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:
- Artificial Intelligence
Learning Objectives:
- Provide practical strategies and opportunities to implement LLMs in clinical radiology practice
- Discuss the role of LLMs for patient triage and workflow optimization
- Establish best practices to address health equity and biases in LLMs
This non-CME enduring material is estimated to take 1 hour to complete.
Start Date: 5/29/2024
Online Expiration Date: 5/28/2025
This educational activity was originally presented on 5/22/2024 as an interactive online webinar.
Faculty:
- Linda Moy, MD
- Tessa Cook, MD, PhD
- Jonathan Elias, MD
- Keith D. Hentel, MD, MS
- Merel Huisman, MD, PhD
- Felipe C. Kitamura, MD, PhD
- George L. Shih, MD
Price:
Non-Member/Basic Member Rate: $0.00
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.