2020 A Multimodality Approach to AI in Diagnostic Imaging

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Description
Additional information

2020 A Multimodality Approach to AI in Diagnostic Imaging

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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.