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FACULTY 
Sarah Eskreis-Winkler, MD, PhD 
Breast Imaging Radiologist 
Memorial Sloan Kettering Cancer Center 
New York, New York 

Release Date:
10/15/2024


Expiration Date:
11/1/2025

 

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.

  • Log-in to your account at www.icpme.us
  • Enroll in and view the entire educational activity session.
  • At the conclusion of the lecture, close the Vimeo window.
  • Access the POSTTEST and EVALUATION by clicking on the appropriate icons located on the left sidebar.
  • A passing grade of at least 75% is required to receive credit. You may take the test up to 3 times.
  • Upon receipt of a passing grade, you will be able to print a certificate of credit from your account at www.icpme.us
  • A summary of credits earned is available by clicking on the TRANSCRIPT REPORT tab located in your account.

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

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