Name: Advances in Artificial Intelligence in Breast Health 2022 Online Course, web 04/27/2025
Start: 04/27/2025
End: 04/27/2025
Location: Online Course

Advances in Artificial Intelligence in Breast Health (2022)

Artificial intelligence (AI) has the potential to assist breast imagers in triaging large workloads, increase accuracy and improve workflow efficiency. In this one-hour webinar, Terri-Ann Gizienski, MD, Chief of clinical breast division, University of Pittsburgh Medical Center, will discuss AI applications in high-resolution mammography. Dr. Gizienski will highlight solutions to reducing radiologists’ reading time and file sizes while supporting clinical decision-making and workflows. This free webinar will include interactive time for questions and answers.

Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:

Artificial Intelligence
Breast (Imaging and interventional)

This non-CME enduring material is estimated to take 1 hour to complete.

Start Date: 4/28/2022
Online Expiration Date: 4/27/2025

This educational activity was originally presented on 4/21/2022 as an interactive online webinar.

Faculty:

Terri-Ann Gizienski, 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.

Event Organized by:
Radiological Society of North America

Date: Apr 27 2025

Venue: Online Course

Address: - Online Course, web

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Advances in Artificial Intelligence in Breast Health 2022 Online Course, web
04/27/2025