RSNA Game-based courses provide an interactive learning experience designed to improve radiologists' knowledge and competence in responding to the challenges and advancements across a variety of subspecialties in the field of radiology, with an ultimate intended result of better patient care.
This quick, three‑round trivia activity introduces key cognitive biases that can influence human‑AI collaboration in clinical practice. Across 10 questions, each worth 10 points, participants will identify and differentiate biases such as complacency bias, automation bias, and base rate neglect.
The activity highlights the mechanisms and contextual factors that contribute to these biases in clinical environments. Participants will also apply their understanding to select appropriate mitigation strategies that support safer, more effective use of AI tools.
Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:
Learning Objectives:
- Identify and distinguish key cognitive biases that affect human-AI collaboration (complacency bias, automation bias, base rate neglect)
- Explain the mechanisms and contextual factors that lead to these biases in clinical practice
- Select appropriate mitigation strategies to reduce bias and improve safe, effective use of AI tools
This non-CME enduring material is estimated to take 10 minutes to complete.
Start Date: 1/29/2026
Online Expiration Date: 1/28/2029
Faculty:
- Bonnie Armstrong, PhD, MA
- Grayson L. Baird, PhD, MS
- Elizabeth A. Krupinski, PhD
- Patricia Trbovich
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.