2026 Hot Topics in Radiology – AI Applications and Beyond: What You Need to Know

Release Date
05/15/26

Release Date:
05/01/26

AMA PRA Category 1 Credit(s)™16.75

Keywords: Radiology

Product ID: HTV26

CME Video Overview
This CME teaching activity is designed to provide an update on a variety of new cutting-edge developments in diagnostic imaging and intervention. Topics include new techniques and practical applications of MRI and CT with an update into the clinical applications of artificial intelligence and machine learning.  Emphasis of this meeting is on the practical clinical uses of new technologies and their impact on the future of radiology practice. Faculty members have been selected for their teaching ability, as well as their expertise. 

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About This CME Teaching Activity
This CME teaching activity is designed to provide an update on a variety of new cutting-edge developments in diagnostic imaging and intervention. Topics include new techniques and practical applications of MRI and CT with an update into the clinical applications of artificial intelligence and machine learning.  Emphasis of this meeting is on the practical clinical uses of new technologies and their impact on the future of radiology practice. Faculty members have been selected for their teaching ability, as well as their expertise. 

Target Audience
This CME teaching activity is primarily intended and designed to educate diagnostic imaging physicians who perform and interpret CT and MR imaging examinations. The content will be beneficial to Neurologists, Emergency Medicine Physicians and General Practitioners who order or integrate imaging information into practice management. 

Educational Objectives

At the completion of this CME teaching activity, you should be able to:
  • Discuss new cutting-edge applications of MRI and CT imaging.
  • Compare the utility of MRI and CT in the evaluation of various musculoskeletal, neuro, body and cardiovascular applications.
  • Develop an avenue to integrate AI into private practice.
  • Discuss the clinical impact of artificial intelligence and machine learning in radiology.
USB Cancellation Policy
We offer a 15-day evaluation period to ensure the product meets your needs. If you are not satisfied, you may receive a refund within 15 days. Cancellations must be received in writing. Please note, there will be a $125.00 processing fee as well as shipping changes applied to all refunds. No credit can be applied on returned purchases. (2+ returns voids cancellation policy.)

On-Demand Cancellation Policy
We offer a 15-day evaluation period to ensure the product meets your needs. If you are not satisfied, you may receive a refund within 15 days if you have watched less than 20% of your purchase. Cancellations must be received in writing.
 
Scientific Sponsor
Educational Symposia

Accreditation Statement
Physicians: Educational Symposia is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Educational Symposia designates this enduring material for a maximum of 16.75 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

All activity participants are required to complete the credit application in order to be awarded credit. Course participants will also have the opportunity to critically evaluate the program as it relates to practice relevance and educational objectives.

AMA PRA Category 1 Credit(s)TM for this activity may be claimed until May 14, 2029

This program is planned and organized by Educational Symposia, a leader in accredited continuing education since 1975.

This activity was planned and produced in accordance with the ACCME Essential Areas and Elements.

Christine B. Chung, M.D.

Professor and Chair

Director of UCSD MSK Imaging Research Lab 

VA San Diego and UC San Diego Department of Radiology

San Diego, CA

Blake A. Johnson, M.D., FACR

National Medical Director

Director of Regenerative Medicine

Rayus Radiology

Minneapolis, MN

Kambiz Nael, M.D.

Professor

Departments of Radiology, Biomedical Engineering and Neurology

University of California San Francisco (UCSF)

San Francisco, CA

 

Katja Pinker-Domenig, M.D., Ph.D., EBBI, FISMRM, FSBI

Professor of Radiology

Division Chief Breast Imaging

Department of Radiology

Columbia University Irving Medical Center

Vagelos College of Physicians and Surgeons 

New York, NY

Scott B. Reeder, M.D., Ph.D.

John H Juhl Professor of Radiology

Chair, Department of Radiology

University of Wisconsin

Madison, WI

Neil M. Rofsky, M.D., MHA, FACR

The Charles M. and Marilyn Newman Professor

System Chair, Department of Diagnostic, Molecular and Interventional Radiology

Senior Associate Dean of Wellness and Coaching, Icahn School of Medicine

Mount Sinai Health Systems

New York, NY

 

Lawrence N. Tanenbaum, M.D., FACR

President, drtmasters.com

Riverside, CT


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Deep Learning Image Reconstruction: Standard of Care and What's Next
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Fundamentals of AI in Breast Imaging
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From Meniscus to Marrow: A Case-Based Review of Knee Imaging
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Liver MRI Case Reviews
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Best Practices in Breast MRI
Katja Pinker-Domenig, M.D., Ph.D., EBBI, FISMR, FSBI

Anticipating MR(A)I
Lawrence N. Tanenbaum, M.D., FACR 

MRI of Appendicitis
Scott Reeder, M.D., Ph.D.

MRI of Hemorrhage
Blake A. Johnson, M.D., FACR

Challenging Cases from Call - At the PACS
Christine B. Chung, M.D. 

CT of the Paranasal Sinuses
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Contrast Enhanced Mammography
Katja Pinker-Domenig, M.D., Ph.D., EBBI, FISMR, FSBI

Imaging of Stroke 2026
Kambiz Nael, M.D. 

Whole Body Screening MRI
Neil M. Rofsky, M.D., MHA, FACR 

Neurovascular Cases
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High Value Imaging
Scott Reeder, M.D., Ph.D. 


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