Description:

Population Based Mammography Quality Using AI
Stephanie Schofield, RTR,Nova Scotia Health Authority

Positioning is the number one reason for failure of accreditation in Mammography. Understanding daily performance is crucial for continuous quality improvement.

Objectives:

• Review the current CAR MAP guidelines for image quality, comparing this to routine quality assessments in mammography.
• Discuss the need for image quality feedback to technologists that is consistent, objective and non-punitive.
• Review how AI can be used to monitor, report and improve image quality.

This session will be 20 minutes with 5 minutes of Q&A

Enhancing Breast Cancer Detection: The Impact of Breast Tomosynthesis on Screening Programs
Linda Vair, RTR, ACR, CBIS, Assistant Director of Medical Imaging, Horizon Health Network

Objectives:

• Understand the significant role of Digital Breast Tomosynthesis (DBT) in breast imaging, including advantages over traditional 2D mammography
• Evaluate current guidelines and recommendations regarding the use of DBT in breast cancer screening
• Discuss the clinical evidence supporting the effectiveness of DBT in improving breast cancer detection rates

This session will be 20 minutes with 5 minutes of Q&A

Approved for 1 Category A Credit