AI Applications in Mammography Today

Samir B. Patel, MD, CCD, DABR, FACR
Radiology, Inc. Value Management Program Director
Beacon Health System Board of Directors

Artificial intelligence is a common buzz word used in the global medical imaging community which has many practical implications. In this CME presentation an experienced radiologist shares the basics of AI being used in mammography.

Upon completion of this lecture, participants will be able to:

1.Understand the clinical benefit of AI in mammography. 

2. Describe how mammography AI information is utilized in mammography interpretation. 

3. Describe how mammography AI can improve radiologist workflow. 

Release Date: 1/5/2024
Expiration Date: 1/4/2027

CONFLICT OF INTEREST DISCLOSURE

FACULTY/PROGRAM DIRECTOR
Samir B. Patel, MD, CCD, DABR, FACR

Consultant - Hologic - Consulting Fees

All of the relevant financial relationships for these faculty have been mitigated by peer review completed by peers with no relevant financial relationships to disclose. 

 

None of the other planners/faculty for this educational activity have a relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, or re-selling, or distributing healthcare products used by or on patients

 

ACCREDITATION

World Class CME is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

World Class CME designates this enduring material for a maximum of 1 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

The American Society of Radiologic Technologists Credit has approved this activity as follows:

Reference No. Cat. Activity Title Start Date Expires Credit
NCZ02340021 A AI Applications in Mammography Today 2/1/2024 3/1/2027 1

 

This activity may be available in multiple formats or from different sponsors. A self-learning activity can be completed only once per biennium

DISCLOSURE

World Class CME relies on its CME faculty to provide program content that is evidence-based and free of commercial bias. Therefore, in accordance with ACCME standards, any faculty, program director, reviewer and/or provider industry relationships will be disclosed and resolved. Speakers are required to openly disclose any limitations of data or any discussion of any off-label, experimental, or investigational uses of drugs or devices in their presentations.

This activity is supported by an unrestricted educational grant from Hologic, Inc.

Instructions to Receive Credit:  After viewing the video, click on the “Take the Quiz” button and complete the post-activity quiz.  After completing the quiz, fill out the evaluation form and submit.  Your CME certificate will then be emailed to you

References:

 J Am Coll Radiol 2021; 18:1153-1159 

Radiographics 2023; 43:e220060

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