Course objectives

By the end of this course, participants will be able to:

• Understand the foundational concepts of AI and ML as they apply to medical imaging.
• Identify the interdisciplinary components of AI, including computer science, mathematics, statistics, and biology.
• Recognize and utilize AI capabilities in medical imaging, particularly in image segmentation and advanced measurement techniques.

Learning outcomes

Participants will achieve the following by completing the course:

• Foundational Knowledge: Gain a comprehensive understanding of AI and ML principles and their application in medical imaging.
• Interdisciplinary Insight: Appreciate the integration of various scientific disciplines in developing and functioning AI models.
• Advanced Imaging Skills: Learn to use AI for advanced imaging tasks such as segmentation and measurement, enhancing diagnostic accuracy and efficiency.

What our Happy Student Say

This was a tremendous opportunity for me to learn at my own pace and understand the foundations of AI in my daily ultrasound practice.

Elena Miles​

Student​

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