Please note that the course links will be available from November 9th to November 23rd, 2026.
Description: The impact of cyber threats on healthcare organizations goes beyond compromising patient care. It can result in financial losses, reputational damage, erosion of patient trust, and potential legal consequences. Protecting data and internal networks is a must for healthcare organizations. This webinar will define and review prominent cyber threats that target healthcare organizations as well as explain how cybersecurity solutions and policies can protect these organizations.
Credit: 0.75 CE*

Description: This course explores the role of Artificial Intelligence (AI) in Magnetic Resonance Imaging (MRI). Participants will be introduced to the foundational concepts of Artificial Intelligence, Machine Learning, and Deep Learning, with an emphasis on how these technologies are defined and applied within the medical imaging industry. The session will examine current and emerging AI applications in MRI, including image enhancement, end to end workflow optimization, and improvements in patient experience. This course will also discuss future directions and the evolving impact of AI on medical imaging practice.
Credit: 1 CE*

Description: This course is part 3 of a 4-part series on PSMA PET/CT for Prostate Cancer. In this course Dr. Bridwell will discuss maximizing interpretive confidence. Topics covered include: acquisition, camera set-up and overview, sources of false positives, sources of false negatives, and case reviews.
Credit: 1 CE*

Description: During the course, we will discuss how combining multiple imaging modalities changed the way we diagnose, plan and treat; starting with a brief history about Hybrid Imaging.
The objective of this course is to educate learners on the history and evolution of hybrid imaging as well as the clinical applications of Multi-Modality Fusion.
Credit: 0.75 CE*

Description: In this course technologists will learn how technology has transformed the field of radiography. Topics include: how digital images are acquired, the components of a digital detector, digital image processing, and how technique, SID and collimation affect exposure index.
Credit: 1 CE*

Questions? Please contact us at mylearningadmin@us.medical.canon.
*ASRT Accredited.