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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.

This course will be submitted to the Commission on Accreditation of Medical Physics Education Programs, Inc. (CAMPEP) for MPCEC Credits.

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Program Outline

  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 Laurence Court, 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 Berkman Sahiner, 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

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
  • Laurence Court, PhD, UT MD Andersen Cancer Center
  • 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
  • Todd Pawlicki, PhD, UC San Diego
  • Sharon Qi, PhD, University of California Los Angeles
  • Yi Rong, PhD, Mayo Clinic Arizona
  • Berkman Sahiner, 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

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