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Stay up to date with the latest advances in imaging AI and spend two days in Dubai gaining expert insight on AI image acquisition, applications and workflow automation.

During AI Adoption and Implementation: Applications and Opportunities in Radiology, you’ll learn how to analyze the benefits, costs and risks of adopting AI products in clinical practice across a variety of subspecialties directly from radiologists who have implementation experience.

Review the course information below and register today!

Course faculty   Course registration
Who should attend this course?

Practicing radiologists from academic and private practices in all career stages interested in developing an in-depth understanding of AI concepts and implementation can benefit from this course.

Course information

This English-language course will take place May 19–20 in Dubai and will provide didactic, case-based lectures, demonstrations and group discussions to help radiologists:

  • Understand AI concepts, mechanisms, advantages and limitations of AI products
  • Differentiate between promotional marketing language and the real-world value of AI products
  • Evaluate the pros and cons of adopting AI in clinical practice, including associated costs
  • Keep up with rapidly evolving information, including current and future regional trends
  • Develop and implement new workflows that can significantly improve productivity and patient care
Learning objectives

After attending this course, participants will be able to:

  • Analyze clinical experiences using current AI algorithms in radiology including practical benefits, challenges and value.
  • Identify the skills needed to evaluate, select and implement radiology AI solutions across practice settings.
  • Assess how to develop a framework for successfully integrating AI solutions into your own clinical practice, while understanding the strengths and pitfalls of existing AI technologies.

Please note: This Program is awarded 10.75 CME hours/CPD Credit Points by Dubai Health Authority (Accreditation# DHA/MTS/ACC/23-0543/A). A certificate of attendance will be awarded upon course completion.

Program preview
Friday, May 19 │ 9 a.m. – 5 p.m.
Course Welcome and Introduction
Course directors
Fundamental Concepts
Role of Digital Twins in Medical Imaging
Parag Mahajan, MD
Role of Federated Learning in Radiology
Parag Mahajan, MD
Ethics of AI in Radiologic Practice
Nina Kottler, MD, MS
Q&A
Getting Started
Evaluating Radiology AI solutions: Review of the ECLAIR Guidelines
Salah El Rai, MSc
Implementing AI in a Mid-Sized Academic Radiology Department: Opportunities and Challenges
Ryan Lee, MD, MBA
Evaluating and Negotiating with your AI Vendor
Ryan Lee, MD, MBA
Q&A
Lunch and Prayer Observance
Optimizing your Practice Workflow Using Operational AI
William Boonn, MD
Decreasing Radiology Burnout with AI-Enabled Workflow
Salah El Rai, MD, MSc
Q&A
Networking Break
 
Saturday, May 20 │ 9 a.m. – 5 p.m.
Course Welcome and Introduction
Course directors
Clinical Applications
AI in Clinical Use, Lessons Learned
Nina Kottler, MD, MS
FDA-Approved AI Applications in Clinical Imaging
Parag Mahajan, MD
Q&A
Clinical Applications in Subspecialities and Case Studies
Clinical Neuroradiology Applications in AI
Ryan Lee, MD, MBA
AI Applications within Cardiovascular Radiology
William Boonn, MD
Fujifilm AI for Chest X-ray: Local Experience
Ryan Lee, MD, MBA
Q&A
Lunch
Clinical Applications in Subspecialities and Case Studies (Continued)
Role of AI in the Diagnosis of Breast Screening Mammography
Safa Khalil, MD
Screening Mammography and Fujifilm AI: Local Experience
Naghma Nawaz, MD
AI in Stroke Triage: Revisiting Code Stroke Rashid Hospital Dubai Experience
Shaikh Sayeed Iqbal, MD
Q&A
Networking Break
What's Next in Non-Interpretive AI in Radiology?
William Boonn, MD
Panel Discussion
Closing Remarks
Course directors

This schedule is subject to change.

Contact us

Questions? Contact us at customerservice@rsna.org.