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