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Fracture Detection Using AI
Artificial intelligence is well recognized as an emerging and vital part of assessing bone health. This lecture will focus on how we can best utilize and glean important information from radiology films to assess fracture presence and increased future risk.
OBJECTIVES
- Identify how to best assess the use of AI on the use of radiographs to assess for fractures
- Determine the limitations of using AI in this setting
- Distinguish how to best utilize this technology for the future
LOCATION
Georgian room
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Ali Guermazi, MD, PhD, MSc
Professor of Radiology & Medicine
Chobanian & Avedisian Boston University School of Medicine
Ali Guermazi, MD, PhD, MSc is a Professor of Radiology and Medicine, Director of the Quantitative Imaging Center, and Assistant Dean of Diversity and Inclusion at Boston University School of Medicine. He is the Chair of Radiology at the VA Boston Healthcare System. Professor Guermazi obtained his MD from Sfax University (Tunisia), then his specialty from Rene Descartes University in Paris (France) and his PhD from Jikei University in Tokyo (Japan). He is Visiting Professor at Jikei University in Tokyo and the Prefectorial University in Kyoto, Japan. Prof. Guermazi was Deputy Editor of Radiology for almost 7 years (2013-2019). He is currently Editor-in-Chief of Skeletal Radiology, the official journal of the International Skeletal Radiology and also the President of the International Society of Osteoarthritis Imaging since 2019. Prof. Guermazi is Expert Radiologist to the International Olympics Committee and Paris Saint-Germain Football team. Prof. Guermazi is the author of over 720 peer-reviewed PubMed publications, 12 books, over 50 chapters and Investigator on numerous research grants related to MRI reading for Osteoarthritis. His h-index is 121. He is the recipient of many awards among these the OARSI Excellence in Clinical Research in 2018 and the RSNA Margulis Award for the Best Paper in 2022. He has been invited to lecture in more than 80 countries world-wide.
This activity has been approved by ASRT for 1.0 Category A continuing education credits.
If you want to claim credits for ACCME you will be able to at the end of the conference at this link:
https://learn.iscd.org/product...