2026 Hot Topics in Radiology – AI Applications and Beyond
Practical updates in MRI, CT, artificial intelligence and advanced diagnostic imaging
This expert-led online program reviews cutting-edge developments in diagnostic imaging, including MRI, CT, artificial intelligence, machine learning, neuroimaging, musculoskeletal imaging, breast imaging and body imaging.
Stay current with the technologies reshaping radiology practice
Focused expert-led lectures explore new imaging techniques, practical applications of MRI and CT, and the growing clinical role of artificial intelligence and machine learning.
The course emphasizes clinically relevant interpretation, case-based learning and the impact of new technologies on the future of diagnostic imaging.
- Review major advances in MRI and CT imaging
- Understand practical applications of AI and machine learning
- Strengthen interpretation across neuro, body, breast and MSK imaging
- Learn through focused clinical cases and imaging reviews
- Explore high-value imaging and future radiology workflows
Complete Course Curriculum
Open each section below to view the included lectures and faculty speakers.
Artificial Intelligence and Imaging Innovation 3 lectures
- Deep Learning Image Reconstruction: Standard of Care and What's Next Lawrence N. Tanenbaum, M.D., FACR
- Anticipating MR(A)I Lawrence N. Tanenbaum, M.D., FACR
- High Value Imaging Scott B. Reeder, M.D., Ph.D.
Neuroimaging 7 lectures
- Imaging of Alzheimer's Disease and Dementia - What You Need to Know Lawrence N. Tanenbaum, M.D., FACR
- Optimizing the Diagnosis and Surveillance of MS Blake A. Johnson, M.D., FACR
- Brain Perfusion Imaging: Potpourri of Clinical Cases Kambiz Nael, M.D.
- MRI of Hemorrhage Blake A. Johnson, M.D., FACR
- CT of the Paranasal Sinuses Blake A. Johnson, M.D., FACR
- Imaging of Stroke 2026 Kambiz Nael, M.D.
- Neurovascular Cases Kambiz Nael, M.D.
Body MRI and Abdominal Imaging 8 lectures
- 2026 MR Contrast Agent Update Lawrence N. Tanenbaum, M.D., FACR
- Multiparametric Prostate MRI Neil M. Rofsky, M.D., FACR
- Imaging of Tumors and Tumor Mimics Blake A. Johnson, M.D., FACR
- Contrast Enhanced Hepatobiliary MRI Scott B. Reeder, M.D., Ph.D.
- Body MRI Case Reviews Neil M. Rofsky, M.D., FACR
- Liver MRI Case Reviews Scott B. Reeder, M.D., Ph.D.
- MRI of Appendicitis Scott B. Reeder, M.D., Ph.D.
- Whole Body Screening MRI Neil M. Rofsky, M.D., FACR
Musculoskeletal Imaging 4 lectures
- Forefoot to Hindfoot: Imaging the Painful Foot Christine B. Chung, M.D.
- Dislocations and Beyond: Imaging Evaluation of Shoulder Instability Christine B. Chung, M.D.
- From Meniscus to Marrow: A Case-Based Review of Knee Imaging Christine B. Chung, M.D.
- Challenging Cases from Call - At the PACS Christine B. Chung, M.D.
Breast Imaging 3 lectures
- Fundamentals of AI in Breast Imaging Katja Pinker-Domenig, M.D., Ph.D.
- Best Practices in Breast MRI Katja Pinker-Domenig, M.D., Ph.D.
- Contrast Enhanced Mammography Katja Pinker-Domenig, M.D., Ph.D.
Learn from leading radiology educators
Course faculty represent neuroradiology, musculoskeletal imaging, breast imaging, body MRI, artificial intelligence and advanced imaging technology.
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
- San Francisco, CA
Katja Pinker-Domenig, M.D., Ph.D.
- Professor of Radiology
- Division Chief, Breast Imaging
- Columbia University Irving Medical Center
- 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
- Icahn School of Medicine at Mount Sinai
- New York, NY
Lawrence N. Tanenbaum, M.D., FACR
- President
- drtmasters.com
- Riverside, CT
Learning objectives and intended audience
Learning Objectives
At the completion of this course, learners should be able to:
- Discuss new and emerging applications of MRI and CT imaging.
- Compare MRI and CT across musculoskeletal, neuro, body and cardiovascular applications.
- Develop a practical approach to integrating artificial intelligence into radiology practice.
- Discuss the clinical impact of AI and machine learning in diagnostic imaging.
Intended Audience
This program is designed for diagnostic imaging physicians who perform and interpret CT and MR imaging examinations.
The content may also benefit neurologists, emergency medicine physicians, general practitioners and other clinicians who use imaging information in patient management.
Build stronger radiology knowledge with a practical expert-led update
Explore focused lectures, advanced imaging applications, clinical cases and practical AI education in one organized program.
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