2020 A Multimodality Approach to AI in Diagnostic Imaging

2020 A Multimodality Approach to AI in Diagnostic Imaging

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2020 A Multimodality Approach to AI in Diagnostic Imaging

2020 A Multimodality Approach to AI in Diagnostic Imaging

About This CME Teaching Activity
This CME Teaching activity focuses on the fundamentals of Artificial Intelligence (AI) in diagnostic imaging. Expert faculty discuss the basic concepts, clinical applications and implementation of this innovative tool. In addition to the technical aspects of this technology faculty examine the clinical potential and future applications of how AI can be applied to routine clinical practice.
Target Audience
This CME activity is designed to educate diagnostic imaging physicians, who want to learn more about Artificial Intelligence in radiology.
Educational Objectives
At the completion of this CME teaching activity, you should be able to:
  • Review the fundamentals of AI.
  • Explain how AI is used in image reconstruction.
  • Discuss the medicolegal aspects associated with AI.
  • Describe the clinical applications and indications of using AI in neuroradiology, spine imaging, breast and musculoskeletal imaging.
  • Describe the impact of AI in radiology today and in the future.
  • Explain how AI is used to increase efficiency and patient satisfaction in radiology.

Topics And Speakers:

 

Session 1
Deep Learning: What You Need to Know as a Radiologist Today
Elliot K. Fishman, M.D., FACR
AI Machine Learning Introduction
Eliot L. Siegel, M.D., FACR, FSIIM
AI in Neuroimaging
Lawrence N. Tanenbaum, M.D., FACR
AI/Machine Learning Hype, Hope, and Reality
Eliot L. Siegel, M.D., FACR, FSIIM
Session 2
Efficiency and Quality Survival with Patient Centric Imaging
Lawrence N. Tanenbaum, M.D., FACR
Medicolegal Aspects Associated with the Era of Digital Imaging, Personalized Medicine
Eliot L. Siegel, M.D. FACR, FSIIM
AI in Medical Imaging
Thomas M. Grist, M.D., FACR
Session 3
AI in Imaging Reconstruction
Lawrence N. Tanenbaum, M.D., FACR
Augmented Reality/Virtual Reality Applications in Diagnostic Imaging
Eliot L. Siegel, M.D. FACR, FSIIM
AI in Spine Imaging
Lawrence N. Tanenbaum, M.D., FACR
AI in Spine Imaging: Clinical Applications
J. Pablo Villablanca, M.D., FACR
Session 4
Artificial Intelligence in Cardiac Imaging
Melany B. Atkins, M.D.
Use of AI in Breast Imaging
Alyssa T. Watanabe, M.D.
Advancement in Breast MRI: What is on the Horizon
Elizabeth A. Morris, M.D., FACR, FSBI, FISMRM
Automated MR Imaging of the Musculoskeletal System
John F. Feller, M.D.

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