Quarterly SNMMI-TS Webinar Series: A Muggles Guide to Deep Learning Wizardry
Prof Geoff Currie, AM, BPharm, MMedRadSc(NucMed), MAppMngt(Hlth), MBA, PhD
Professor in Nuclear Medicine, School of Dentistry and Medical Sciences
Charles Sturt University, Wagga Wagga, Australia
Adjunct Professor in Radiology, Baylor College of Medicine, Houston, USA
Adjunct Professor, Rural Medical School, University of NSW
The purpose of the course is to explore the foundation principles and their applications of deep learning in nuclear medicine. The target audience are nuclear medicine technologists currently working in clinical settings that either adopt or may adopt in the future, deep learning in their clinical or research activities. The course uses a Harry Potter theme to engage participants and contextualize content for more ready understanding and recall.
1. Discuss the principles and applications of deep learning in nuclear medicine
2. Describe the technologies driving deep learning
3. Apply the principles of deep learning within the clinical and research environments
4. Identify and evaluate opportunities for and applications of deep learning within their scope of practice
CE Credit applications for physicians, pharmacists, physicists and technologists are pending. Check back for updates regarding CE Credit status.