Highlight Country: South Korea

SNMMI is honored to welcome South Korea as it’s 2021 Highlight Country. The Korean Society of Nuclear Medicine (KSNM)—celebrating their 60th anniversary in 2021—will make a special presentation during the Opening Ceremony, present three continuing education sessions, and introduce attendees to the work of their society and aspects of their country and culture by visiting the Highlight Country Booth in the Exhibit Hall. We look forward to welcoming the delegation from South Korea, as well as attendees from across the globe to the SNMMI 2021 Virtual Annual Meeting!

Opening Ceremony and Highlight Country Address
Kick off the SNMMI 2021 Virtual Annual Meeting with the official opening ceremony and welcome session, which includes the Highlight Country address from Jung-Joon Min, MD, PhD, President of the Korean Society of Nuclear Medicine.

Jung-Joon Min, MD, PhD
Highlight Country Address
Chonnam National University Hwasun Hospital
President, Korean Society of Nuclear Medicine 


Additional Sessions Include:


CE17: Theranostics in Korea- Highlight Country Session
Organized by the Korean Society of Nuclear Medicine

Moderator
Arthur Cho; So Won Oh

Learning Objectives
  • List the principles of theranostics
  • Compare the benefits and disadvantages of theranostics
  • Plan strategies to address the shortcomings of current theranostics applications

Presentations

4:00-4:17 pm EDT
Theranostic Approaches for Liver Bacteria-Based Therapy in Small Animal Models
Jung-Joon Min

4:17-4:34 pm EDT
Theranostic Use of Radionanomedicine in Korea
So Won Oh

4:34-4:50 pm EDT
Experience of Peptide Receptor Radionuclide Therapy for Neuroendocrine Tumors in Korea
Keon Wook Kang

4:50-5:00 pm EDT
Q&A


CE39: AI is Coming to the Clinic - Highlight Country Session
Organized by the Korean Society of Nuclear Medicine

Moderators
Tae Sung Kim; Jae Sung Lee

Learning Objectives

  • List recent examples of AI application for diagnostic and quantitative analysis in nuclear medicine imaging
  • Understand the current trends and direction of research for AI application in clinical medical imaging

Presentations

2:00-2:17 pm EDT
Deep Learning-Based Analysis of Amyloid PET
Do-Young Kang

2:17-2:34 pm EDT
Radiomics and Machine Learning for Oncology PET
Seunggyun Ha

2:34-2:50 pm EDT
Discovery of New Information from Nuclear Medicine Imaging using AI
Hongyoon Choi

2:50-3:00 pm EDT
Q&A