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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.

The program has applied to the Commission on Accreditation of Medical Physics Education Programs, (CAMPEP) for approval of 9.91 MPCEC hours.

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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 Mike and Rachel.

Objectives & Outline

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.

  Saturday, July 20, 2024 | 8:00am – 5:00pm
  Room 408A, Los Angeles Convention Center

Morning Session 1 Overview of AI Fundamentals (Moderator: Yi Wang)
8:00 AM – 8:05 AM Welcome Remarks Todd Pawlicki, PhD
UC San Diego
AAPM President
8:05 AM – 8:15 AM AAPM’s Efforts on AI Bootcamps Yi Wang, PhD
Massachusetts General Hospital
Harvard Medical School
8:15 AM – 8:45 AM Basic Concepts and Terminology in Artificial Intelligence and Machine Learning Tucker Netherton, PhD
UT MD Andersen Cancer Center
8:45 AM – 9:15 AM Artificial Neural Network and Common Deep Learning Architectures Mu-Han Lin, PhD
UT Southwestern Medical Center
9:15 AM – 9:45 AM Data Preparation and Processing Gilmer Valdes, PhD
University of California San Francisco
9:45 AM – 10:15 AM Healthcare AI Infrastructure and Enterprise Imaging Michael Tilkin
American College of Radiology
10:15 AM10:30 AM Morning Break
Morning Session 2 Role of Medical Physicists in AI Era (Moderator: Dee Wu)
10:30 AM – 11:00 AM Keynote Speech: Role of Clinical Physicists in AI Era Lei Xing, PhD
Stanford University
11:00 AM – 11:30 AM Machine Learning Model Evaluation and Interpretation Kristy Brock, PhD
UT MD Anderson Cancer Center
11:30 AM – 12:00 PM Best Practice in Clinical Implementation: From Selection to Maintenance Parminder Basran, PhD
Cornell University
12:00 PM – 12:30 PM Understanding the Challenges and Limitations of Clinical AI Charles Mayo, PhD
University of Michigan
12:30 PM1:00 PM Lunch (Boxed Lunches)
Afternoon Session 1 Clinical Applications of AI (Moderator: Stephen Avery)
1:00 PM – 1:30 PM Keynote Speech: Ethical Considerations of Healthcare AI Walter Greenleaf, PhD
Stanford University
1:30 PM – 2:00 PM Regulatory Guidance of Clinical AI Brandon Nelson, PhD
US FDA
2:00 PM – 2:30 PM Quality Management of Clinical AI Systems Yi Rong, PhD
Mayo Clinic Arizona
2:30 PM – 3:00 PM Deep Learning for Image Segmentation and Registration Carlos Cardenas, PhD
University of Alabama at Birmingham
3:00 PM3:10 PM Afternoon Break
Breakout Sessions 1 AI in Radiology and Nuclear Medicine (Moderator: Parminder Basran)
3:10 PM – 3:40 PM AI in Medical Image Analysis Dee Wu, PhD
University of Oklahoma Health Science Center
3:40 PM – 4:10 PM AI in Disease Diagnosis Charles Kahn, MD
University of Pennsylvania
4:10 PM – 4:40 PM AI in MRI Sachin Jambawalikar, PhD
Columbia University
4:40 PM – 5:00 PM Fireside Chat with Vendors and Experts Moderator: M Mahesh, PhD
Johns Hopkins University
Breakout Sessions 2 AI in Radiation Therapy (Moderator: Olga Pen)
3:10 PM – 3:40 PM Machine Learning for RT Treatment Planning Jackie Wu, PhD
Duke University
3:40 PM – 4:10 PM RT Outcome Prediction Models and Radiomics Issam El Naqa, PhD
Moffitt Cancer Center
4:10 PM – 4:40 PM AI in Adaptive Radiation Therapy (CBCT and MRI) Sharon Qi, PhD
University of California Los Angeles
4:40 PM – 5:00 PM Fireside Chat with Vendors and Experts Moderator: Lei Xing, PhD
Stanford University

Registration

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 Faculty

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
  • Brandon Nelson, PhD, US FDA
  • 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
  • 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

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