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 Mike and Rachel.

Objectives:

• Gain a comprehensive understanding of the foundational principles of AI relevant to medical physicists.
• Evaluate the application of AI in both clinical radiation therapy and medical imaging, focusing on current methodologies and emerging trends.
• Implement AI techniques into clinical medical physics practice through practical, hands-on experience and simulations.
• Analyze the competencies required for effective AI integration, while addressing ethical, medico-legal, and regulatory considerations.
• Stay abreast of the latest global advancements in AI technology, discerning their clinical significance and potential impact on medical physics practice.

Please note the following:

• If you are interested in attending the Annual Meeting AND the Artificial Intelligence for Clinical Medical Physicists Meeting, please select the “Annual Meeting Full Conference” registration path. You will then have the option to add the Artificial Intelligence for Clinical Medical Physicists Meeting to your registration..
• If you are ONLY interested in attending the Artificial Intelligence for Clinical Medical Physicists Meeting, please choose the “Affiliated Meetings and Pre-Conference Meetings Only” registration path.

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.

Program Directors

• Parminder Basran, Cornell University
• Olga Pen, Atrium Health
• Yi Wang, Massachusetts General Hospital, Harvard Medical School
• Dee Wu, University of Oklahoma Health Sciences Center

Faculty

• Parminder Basran, PhD, Cornell University
• Kristy Brock, PhD, UT MD Anderson Cancer Center
• Carlos Cardenas, PhD, University of Alabama at Birmingham
• Issam El Naqa, PhD, Moffitt Cancer Center
• Walter Greenleaf, PhD, Stanford University
• Sachin Jambawalikar, PhD, Columbia University
• Charles Kahn, MD, University of Pennsylvania (Representing Radiology: AI)
• Mu-Han Lin, PhD, UT Southwestern Medical Center
• M Mahesh, PhD, Johns Hopkins University
• Charles Mayo, PhD, University of Michigan
• Tucker Netherton, PhD, UT MD Andersen Cancer Center
• Todd Pawlicki, PhD, UC San Diego
• Sharon Qi, PhD, University of California Los Angeles
• Yi Rong, PhD, Mayo Clinic Arizona
• Frank Samuelson, PhD, US FDA
• Michael Tilkin, American College of Radiology
• Gilmer Valdes, PhD, University of California San Francisco
• Yi Wang, PhD, Massachusetts General Hospital
• Dee Wu, PhD, University of Oklahoma
• Jackie Wu, PhD, Duke University
• Lei Xing, PhD, Stanford University