Advancing Breast Imaging: From Contrast-Enhanced Mammography to AI-Driven
November 05, 2025  ·  Radisson Blu Toronto Downtown


Overview

This educational forum will explore emerging innovations in breast imaging that are transforming clinical practice. Through expert presentations, participants will gain a comprehensive understanding of the technical principles, clinical applications, and operational considerations of contrast-enhanced mammography, as well as its impact on multidisciplinary care pathways. In addition, the program will examine the opportunities and challenges of integrating artificial intelligence into breast imaging, equipping participants with the knowledge to critically assess AI tools and their potential role in clinical workflows.


Needs Assessment

The program was developed following a review of learning gaps and informed by several sources of evidence that captured both perceived and unperceived needs. These data were collected from the CAR membership CPD survey and from the evaluations of past educational events. Topics were further refined through consultation with subject matter experts.

Target Audience

This forum is designed for general and subspecialty radiologists with an interest in breast imaging.

Learning Objectives


At the end of the presentation Contrast-Enhanced Mammography: Impact on patient care in a multidisciplinary breast center - Initial experience by Dr. Carolyn Flegg, delegates will be able to:


  • Describe the technical principles, indications, and diagnostic performance of contrast-enhanced mammography and breast MRI for cancer detection and characterization. (CanMeds Roles: Medical Expert)
  • Analyze the operational and logistical considerations necessary for introducing CEM and evaluate its impact on departmental efficiency and patient throughput. (CanMeds Roles: Leader)
  • Coordinate with medical oncology, surgery, and radiation oncology teams to streamline diagnostic-to-treatment pathways supported by CEM findings. (CanMeds Roles: Collaborator)

At the end of the presentation Breast Imaging in the AI Era: Opportunities, Challenges, and the Road Ahead by Dr. Viviane Freitas, delegates will be able to:

 

  • Understand the clinical applications of artificial intelligence (AI) tools in mammography. (CanMeds Roles: Medical Expert, Scholar)
  • Recognize the potential challenges associated with implementing AI in breast imaging practice. (CanMeds Roles: Leader, Health Advocate)
  • Critically evaluate AI tools to determine their suitability for integration into clinical practice. (CanMeds Roles: Medical Expert, Leader)

Accreditation

This forum was co-developed with Hologic and was planned to achieve scientific integrity, objectivity, and balance. This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification (MOC) Program of the Royal College of Physicians and Surgeons of Canada and approved by the Canadian Association of Radiologists. This forum is approved for a maximum of 1.5 hours (credits are automatically calculated).

 

Participants should only claim the credits commensurate with the extent of their participation in the activity.


Parking Information: The parking is located at the left hand side of the entrance of the hotel, and please be careful at the moment when opening the trunk due to pipes exposed at the roof of the parking lot. The cost is $37 + HST.


Agenda
Wednesday, November 5
5:00 PM
5:00 PM
5:00 PM - 5:30 PM
5:00 PM - 5:30 PM
Atrium Foyer
5:30 PM - 6:25 PM
5:30 PM - 6:25 PM
Atrium Room
6:25 PM - 6:30 PM
6:25 PM - 6:30 PM
Moderator: Dr. Supriya Kulkarni
6:30 PM - 7:00 PM
6:30 PM - 7:00 PM
Presenter: Dr. Carolyn Flegg
7:00 PM - 7:30 PM
7:00 PM - 7:30 PM
Presenter: Dr. Vivianne Freitas
7:30 PM - 7:55 PM
7:30 PM - 7:55 PM
7:55 PM - 8:00 PM
7:55 PM - 8:00 PM
Moderator: Dr. Supriya Kulkarni
8:00 PM
8:00 PM
Speakers

No records found.

Sponsors
LOCATION
Radisson Blu Toronto Downtown, 249 Queens Quay West, Toronto, Ontario M5J 2N5
Map
Location: Radisson Blu Toronto Downtown, 249 Queens Quay West, Toronto, Ontario M5J 2N5