Artificial Intelligence in Breast Imaging

Join experts in the field of breast imaging for a one-hour webinar to gain insight into the latest AI research and algorithms and how they’re being utilized to analyze mammographic images.

Register now

Webinar details

Date & time
Oct. 12; 2-3 p.m. CT

Price
Free

AI for breast imaging has rapidly advanced from feasibility and reader studies to clinical implementation. In this one-hour webinar, four leading women radiologists from the U.S. and Europe will discuss the use of AI applications to improve the detection and diagnosis of breast cancer.

Learning objectives

  • Define key AI terminology and concepts, such as deep learning, machine learning and neural networks.  
  • Examine current AI research and algorithms and their application to mammography.
  • Discuss the future of AI for breast imaging.
Register now

 

Planners and faculty   

  • Manisha Bahl, MD, MPH  
    Associate Professor of Radiology, Massachusetts General Hospital /
    Harvard Medical School  
  • Emily F. Conant, MD  
    Professor of Radiology, University of Pennsylvania Perelman School of Medicine
  • Despina Kontos, PhD  
    Matthew J. Wilson Professor of Research Radiology and Associate Vice Chair for Research, University of Pennsylvania Perelman School of Medicine  
  • Sophia Zackrisson, MD, PhD  
    Professor of Radiology, Skåne University Hospital in Malmö / Lund University  

Disclosure statements

RSNA controls the planning, development, and delivery of this CME activity and will strictly adhere to the Standards for Integrity and Independence in Accredited Continuing Education established by the Accreditation Council for Continuing Medical Education (ACCME).  

Listed below are all the financial relationships provided by individuals in a position to influence and/or control CME activity content. All relevant financial relationships listed for these individuals have been mitigated. Please note that any individuals not listed below have reported no financial relationships (currently or within the past 24 months) with any ineligible company producing, marketing, selling, re-selling, or distributing health care, products used on or by patients.  

Manisha Bahl, MD, MPH: Consultant, Lunit, Inc. Expert Advisory Committee, 2nd.MD.  

Emily Conant, MD: Research Grant, Hologic, Inc. Advisory Panel, Hologic, Inc. Research Grant, OM1, Inc. Research Grant, iCad, Inc. Advisory Panel, iCad, Inc. Speaker, WebMD LLC.  

Depina Kontos, MD: Institutional Research Grant, Hologic, Inc. Institutional Research Grant, iCAD, Inc.

Sophia Zackrisson, MD: Speaker, Siemens Healthineers. Speaker, Bayer Healthcare. Speaker, Pfizer.  

RSNA Accreditation and Designation Statements

The Radiological Society of North America (RSNA) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.  

This Other activity (blended live and enduring material) can be applied towards the ABR MOC Part 2 requirement (CME). To earn CME credit, participants must watch the full length of the webinar, as well as complete the course evaluation.  

RSNA designates this Other activity (blended live and enduring material) for a maximum of 1.00 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

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.