Artificial Intelligence Applications in Breast Imaging
Discover how AI is revolutionizing breast cancer detection and risk assessment, paving the way for personalized care and improved patient outcomes.
This activity may be available in multiple formats or from different sponsors. A self-learning activity can be completed only once per biennium.
Physician and Nurse Credit: | Available at Medscape Education | |
RT Credit: | 0.50 ARRT Category A credits |
Target Audience and Goal Statement
This activity is intended for radiologists, obstetricians/gynecologists, primary care physicians (PCPs) and radiologic technologists.
The goal of this activity is for learners to be better able to optimize breast cancer screening using the latest imaging techniques.
LEARNING OBJECTIVES
Upon completion of this activity, participants will:
Have increased knowledge regarding the
Differences between artificial intelligence (AI) and traditional computer-aided detection (CAD) used in breast imaging
AI applications being utilized in breast imaging to enhance diagnostic processes
Practical aspects of integrating AI tools into clinical practice
Demonstrate greater confidence in their ability to recognize how AI can be used to optimize clinical practice and enhance patient care
ACCREDITATION AND CREDIT
This activity has been approved by the American Society of Radiologic Technologists (ASRT) for 0.50 hours of ARRT Category A continuing education credit.
HOW TO RECEIVE CREDIT
Important note: For Physician credit you must enroll and participate on the Medscape Education website.
FACULTY
Sarah Eskreis-Winkler, MD, PhD
Breast Imaging Radiologist
Memorial Sloan Kettering Cancer Center
New York, New York
Questions?
For questions regarding this program, please contact ICPME:
Email: information@icpmed.com
PROVIDED BY