Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:
- Artificial Intelligence
- Emergency Radiology
Learning Objectives:
By the conclusion of this emergency radiology AI program, you will have information to support every phase of emergency imaging AI from assessment to use case evaluation to implementation:
- Gain a comprehensive understanding of assessing AI models through clinical, technical, and business perspectives.
- Examine various AI applications using multiple use cases in emergency radiology.
- Identify critical factors for the successful implementation of emergency radiology AI models.
Start Date: 01/17/2024
Online Expiration Date: 06/25/2027
Price:
Non-Member/Basic Member Rate: $1,050.00
Standard Member/Full Access Member Rate: $850.00
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.
See Module Details Below
- Describe important variables when gathering medical imaging data in local and multi-centered settings.
- Identify evolution of NLP and how it improves the efficiency of clinical workflows.
- Recognize terms associated with AI in healthcare, and why workflow considerations are essential prior to an AI solution being deployed.
This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete. This activity has not been designated for continuing medical education credit.
Faculty:
- Po-Hao (Howard) Chen, MD, MBA
- Tessa S. Cook MD, PhD, CIIP, FSIIM, FCPP
- Marta Heilbrun, MD
- Amy Kotsenas, MD
- Nina Kottler, MD, MS
- Luciano Prevedello, MD, MPH
- Nabile M. Safdar, MD, MPH
- Summarize best practices on how to approach the technical evaluation of an AI tool.
- Apply relevant statistics and best practices when assessing Radiology AI clinical application tools.
- Examine crucial elements for identifying the suitability of an AI application from a value perspective.
This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete. This activity has not been designated for continuing medical education credit.
Faculty:
- Bernardo C. Bizzo, MD, PhD
- Melissa Davis, MD, MBA
- Florence Doo, MD, MA
- Chintan Shah, MD, MS
- Axel W. E. Wismueller, MD, M.Sc, PhD
This Other Activity (blended enduring material and simulation) is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.
Learning Objectives:
Implement three experiments aimed at training AI models to deepen your comprehension of its capabilities and challenges.
-
Faculty:
- Luciano Prevedello, MD, MPH
- Describe CADt products and their use in radiology workflow for clinical practice.
- Interpret the value of AI products to the various stakeholders in the imaging value chain at your institution.
- Assess available FDA cleared AI Algorithms for suitability to your clinical practice.
This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete. This activity has not been designated for continuing medical education credit.
Faculty:
- Bibb Allen Jr. MD, FACR
- Namita S. Gandhi, MD MScHI FSAR
- Sriyesh Krishnan, MD
- Naveen Subhas MD, MPH
- Identify and distinguish between different care coordination pathways and explain the role of AI-based automation in enhancing care coordination.
- Articulate the significance of radiologists' role in care coordination and develop strategies that are important to recommended follow-up care for patients.
This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.
Faculty:
- Anjali Balagopal, MBE, PhD
- Melissa Chen, MD
- Nina Kottler MD, MS
- Sriyesh Krishnan, MD
- Understand the role of NLP and Generative AI in Radiology workflows.
- Examine how AI technologies automate routine radiological tasks, including pre- and post reporting image analysis and data management.
- Explore ways AI can enhance report creation and accuracy.
This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour to complete. This activity has not been designated for continuing medical education credit.
Faculty:
- Alex Bratt, MD
- Florence Doo, MD, MA
- George Shih, MD
- Participants will be able to identify and access reliable resources for discovering companies and products tailored to their specific requirements in the realm of AI solutions.
- Participants will understand the foundational principles of data drift monitoring tools, enabling them to discern their capabilities and limitations.
- Participants will analyze the consequences of overreliance on automated systems for human readers, identify parallels in other domains of automation, and explore strategies for integrating systems to mitigate biases effectively.
This Other Activity (blended enduring material and simulation) material is estimated to take 1 hour and 45 minutes to complete. This activity has not been designated for continuing medical education credit.
Faculty:
- Katherine P. Andriole, PhD
- Bryan Haslam, PhD
- Catherine Jones MBBS, BSc, FRCR, FRANZCR
- Marc Kohli, MD
- Kicky van Leeuwen
- Ivan Tarapov
- Walter Wiggins, MD, PhD