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Artificial Intelligence in Ultrasound and Radiography: Examples, Implications, Concerns and Opportunities

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This session was recorded at CONNECT 2019.

1.00 Category A Credit

Presenter: Jacob Jaremko, MD, PhD, FRCPC

Learning Objectives:
Artificial intelligence can potentially automate many parts of image analysis, from identifying anatomic structures to detecting pathology. This may fundamentally alter the roles of medical imaging professionals. In this talk we will review examples of capabilities of current AI systems, including the work of my own team on ultrasound image analysis, and assess implications for stakeholders including patients, technologists and radiologists.

$0 Member
$20 Non-Member

There is a four-month deadline from the date of purchase to submit your post quiz for category “A” credit / hours. Marks will be posted in your CAMRT course profile within 3 weeks of completion.

Candidates who are unsuccessful in obtaining the 75% pass mark have one full year from the original date of registration to apply for a rewrite. A $10 administrative fee applies for members and $20 for a non-member. This also applies to the complimentary presentations.

Candidates who have surpassed their fourth month deadline must re-register for the course.

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