Artificial Intelligence and Deep Learning Recon in MRI: I Can See Clearly Now
This course addresses critical gaps in radiology professionals' understanding and application of emerging AI technologies within diagnostic imaging. Learners will define artificial intelligence (AI) and its role in health care, explain the use of deep learning algorithms in reconstruction processes, and discuss strategies to optimize image quality while maintaining throughput.
By participating in this course, learners will develop the competence to enhance competence in leveraging deep learning reconstruction techniques, improve operational performance in managing increased MR procedure demands, and ultimately contribute to better patient outcomes with efficient, high-quality imaging solutions.
Learning Objectives
- Define AI and its use in health care, specifically.
- Explain the use of deep learning algorithms and use in Deep Learning Reconstruction.
- Discuss the importance of image quality while still producing throughput.
Tim Troncale, BSRS, RT(R)(MR), ARMRIT, CPI, Clinical MR Specialist, Consultant and Educator
Radiologic Technologists
This course has been approved for one (1.0) ARRT Category A CE credit(s) by AHRA.
Radiology Administrators
This course meets all CRA renewal credit criteria and has been approved for one (1.0) continuing education credit in the following CRA domain(s): Operations Management (OM).
Available Credit
- 1.00 AHRA CRA Credit
- 1.00 ARRT Category A CE Credit
Price
Required Hardware/software
Ensure your browser's cookies are enabled in order for the video player to function properly.

Facebook
X
LinkedIn
Forward