
Practical Applications of Computational Science in Musculoskeletal Imaging

Practical Applications of Computational Science in Musculoskeletal Imaging is organized by American Roentgen Ray Society (ARRS).
Expiration Date: August 20, 2032
Description:
This course discusses how current advances in computational sciences relate to the clinical practice of musculoskeletal radiology. Artificial Intelligence (AI) solutions aimed at the detection and classification of arthritic and other disease processes of the musculoskeletal system are discussed. The audience will learn about the use of AI to increase the speed of acquisition and resolution of musculoskeletal MR images. Participants will also learn about potential pitfalls and biases of AI.
Learning Outcomes and Modules
After completing this course, the learner should be able to:
• Describe the benefits and limitations of AI solutions for fracture detection.
• Identify potential pitfalls of AI and deep learning in MSK and other radiological applications.
• Discuss imaging assessment in bone density and bone strength.