Artificial Intelligence for Clinical Medical Physicists
This meeting is tailored to empower clinical medical physicists with the knowledge and insights needed to leverage AI technologies effectively. Whether you are a seasoned professional or a curious newcomer to the intersection of AI and healthcare, this event promises to be a dynamic and collaborative event for learning and networking. Join us in unraveling the potential of AI in advancing clinical medical physics and shaping the future of patient care.
Attending the Artifical Intelligence for Clinical Medical Physicists AND Annual Meeting & Exhibition?
- Proceed through the Annual Meeting registration as normal.
- Add your AI meeting ticket found under the “Annual Meeting Events Add-On” page.
Attending ONLY the Artificial Intelligence for Clinical Medical Physicists?
- Proceed through the Annual Meeting registration.
- Select “Affiliated Meetings & Pre-Conference Meetings Only” as your registration category.
- Add your AI meeting ticket found under the "Annual Meeting Events Add-On" page.
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Sponsorship Opportunity
This meeting is meticulously designed to equip clinical medical physicists with the knowledge and insights necessary to effectively harness the power of AI technologies. The AI Specialty Meeting Agenda promises to delve deep into the intersection of AI and clinical medical physics, offering invaluable opportunities for learning and networking.
Sponsorship Package: $3,000
- A 30-Second Advertisement to be aired before the session of your choice
- Your company's static slide to be prominently displayed between sessions
- A comprehensive list of all attendees who opt to share their information
If you are interested in this sponsorship opportunity or require further information, please do not hesitate to reach out to Linda.
Objectives & Outline
Meeting Program: Artificial Intelligence for Clinical Medical Physicists
Date: Saturday, July 26, 2025
Location: Walter E. Washington Convention Center (Annual Meeting Venue)
Program Directors: Dee Wu, Ph.D. (University of Oklahoma), Yi Wang, Ph.D. (Harvard Medical School) and M. Mahesh, Ph.D. (Johns Hopkins University)
| Morning Session 1 | Overview of AI Fundamentals (Moderator: M. Mahesh) | ||
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| Start Time | End Time | Activity | Speaker |
| 7:00 AM | 8:00 AM | Registration and Breakfast | |
| 8:00 AM | 8:15 AM | Welcome Remarks & AAPM’s Efforts on AI | AAPM President – M. Mahesh, Ph.D., Johns Hopkins University |
| 8:15 AM | 8:45 AM | Fundamentals of Artificial Intelligence, Machine Learning and Deep Learning | Laurence Court, Ph.D., UT MD Andersen Cancer Center |
| 8:45 AM | 9:15 AM | Practical Aspects of Data Preparation | Charles Mayo, PhD., University of Michigan |
| 9:15 AM | 9:45 AM | Pre-implementation Considerations and Strategies for Clinical AI Deployment | Karen Drukker, Ph.D., University of Chicago |
| 9:45 AM | 10:15 AM | Healthcare AI Infrastructure and Enterprise Imaging | Michael Tilkin, American College of Radiology |
| 10:15 AM | 10:30 AM | Coffee Break | |
| Morning Session 2 | Role of Medical Physicists in AI Era (Moderator: Samuel Brady) | ||
| 10:30 AM | 11:00 AM | Machine Learning Model Evaluation and Interpretation | Kristy Brock, Ph.D., UT MD Anderson Cancer Center |
| 11:00 AM | 11:30 AM | The Power and Potential of Generative AI | Yi Wang, Ph.D., Harvard Medical School |
| 11:30 AM | 12:00 PM | Ethical Considerations in AI Implementation | Lei Xing, Ph.D., Stanford University |
| 12:00 PM | 12:30 PM | MIDRC: Data, Tools, and Resources | Heather Whitney, Ph.D. University of Chicago |
| 12:30 PM | 1:00 PM | Lunch Break, boxed lunch in conference room | |
| Afternoon Session 1 | Clinical Applications of AI (Moderator: Stephen Avery) | ||
| 1:00 PM | 1:30 PM | Leveraging AI in Medical Physics Education: Benefits and Drawbacks | Dee Wu, PhD, University of Oklahoma Health Sciences |
| 1:30 PM | 2:00 PM | Regulatory Guidance of Clinical AI Implementation | Mike Peters, Ph.D., U.S. ACR Senior Director of Government Affairs |
| 2:00 PM | 2:30 PM | Quality Management of Clinical AI Systems | Xun Jia, Johns Hopkins University |
| 2:30 PM | 3:00 PM | Deep Learning for Image Segmentation and Registration | Sharon Qi, Ph.D., University of California, Los Angeles |
| 3:00 PM | 3:30 PM | Coffee Break | |
| Breakout Session 1 | AI in Radiology and Nuclear Medicine (Moderator: Dee Wu/Parminder Basran) | ||
| 3:30 PM | 3:55 PM | AI in Disease Diagnosis | Tessa Cook M.D., University of Pennsylvania |
| 3:55 PM | 4:20 PM | Harnessing Virtual Imaging Trials to Advance AI Development and Evaluation | Ehsan Abadi, Ph.D., Duke University |
| 4:20 PM | 4:45 PM | Best Practices in Clinical Adoption of Diagnostic AI Solutions | Tyler Bradshaw, PhD, University of Wisconsin – Madison |
| 4:45 PM | 5:00 PM | Panel Discussion | Speakers and moderators |
| Breakout Session 2 | AI in Radiation Therapy (Moderator: Olga Pen/Barbara Marquez) | ||
| 3:30 PM | 3:55 PM | Machine Learning for Radiation Therapy Treatment Planning | Jackie Wu, Ph.D., Duke University |
| 3:55 PM | 4:20 PM | AI in CBCT and MR-based Adaptive Radiation Therapy (ART) | Bin Cai, Ph.D., University of Texas Southwestern Medical Center |
| 4:20 PM | 4:45 PM | Practical Tips for Medical Physicists in Clinical AI Implementation | Issam El Naqa, Ph.D., Moffitt Cancer Center |
| 4:45 PM | 5:00 PM | Panel Discussion | Speakers and moderators |
Registration
Two registration options are available, In-Person and On-Demand.
The In-Person registration fee includes:
- Continental breakfast, Box lunch, and Beverage breaks
- On-Demand recordings of sessions, posted to meeting platform 24-hours post-session.
- Continued access to On-Demand recordings via the meeting platform (available for 1-year).
The On-Demand registration fee includes:
- Access to On-Demand recordings via the meeting platform (available for 1-year). Recordings of sessions will be posted to meeting platform 24-hours post-session.
Please carefully review Categories & Fees before registering.
Artificial Intelligence for Clinical Medical Physicists |
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Registration Includes: |
In Person w/ On-Demand |
On-Demand Only |
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Admission to in-person AI meeting sessions |
✓ |
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On-Demand recordings of sessions (posted within 24 hours), available for one-year post-meeting |
✓ |
✓ |
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Ability to earn Continuing Education Credits |
✓ |
✓ |
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Member Rates |
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Member (Full & Affiliate) |
$250 |
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Full-Lifetime Member |
$125 |
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General Member |
$325 |
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Associate Member |
$125 |
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Associate-Student Member |
$63 |
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AMD Member (contact AAMD for promo code) |
$250 |
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ASRT Member (contact ASRT for promo code) |
$250 |
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Resident of Low/Middle Income Country |
$100 |
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Non-Member Rates |
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Non-Member |
$500 |
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Non-Member Associate |
$250 |
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Non-Member Student |
$138 |
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