Course description
This course will provide a comprehensive and engaging experience in “ML/AI for Ultrasound and Medical Imaging Professionals”. It involves building the foundational knowledge of AI, introducing practical applications, and offering hands-on experience in ultrasound AI and medical imaging. Here’s a detailed course outline designed to provide a great learning experience.
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.
Elena Miles
Student
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Course Content
Module 1: Foundations of AI and ML in Medical Imaging