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AI in Clinical Use

Course Details

MDCB Credits: 1.00

ARRT Credits: 1.00

Available Until: 9/2/2022

Non-Member Price: $35.00

Member Price: $20.00

Member PLUS Price: $20.00

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Presented by Dayna Bodensteiner, BS, CMD, RT(R)(T); Thomas Purdie, PhD; and Erik Korevaar, PhD

Sponsored by RaySearch Americas

Monday, August 15, 2022
1:00 - 2:00 PM EDT

NOTE: Participation in the live webinars is limited to 1,000 participants per webinar. If you miss the live webinar, you have until September 2, 2022, to view the webinar recording and earn CE Credits.

Artificial Intelligence is a current focus for many medical applications.  This presentation will show two areas of clinical relevance for radiation oncology.  First in segmentation or contouring of regions of interest and then in automatic planning.  The methods and potential gains for a hospital in terms of workflow, efficiency and outcomes will be discussed. 

Learner Outcomes:

  1. Compare two clinical use cases for AI in radiation oncology; organ segmentation and automatic planning
  2. Discuss the considerations when implementing AI into clinical practice
  3. Demonstrate how automated robust planning for Intensity Modulated Proton Therapy (IMPT) in oropharyngeal cancer patients using machine learning was clinically implemented
  4. Quantify efficiency gains in automatic planning over manual plan creation

Educational Level: Intermediate

Dayna Bodensteiner, BS, CMD, RT(R )(T) as the Director of Product Management for RaySearch Americas, will act as a moderator, laying the foundation for the presentation with general descriptions of artificial intelligence in treatment planning systems.  Dayna will discuss the specific algorithm choices used, the training data sets needed and the offline training done by RayStation before deploying a model.  She will outline the disclaimers in terms of what is FDA approved in RayStation and then she can introduce the two clinical speakers. 

Thomas Purdie, PhD is a Medical Physicist from the Princess Margaret Cancer Centre, University Health Network who has vast knowledge and publications on Machine-Learning Based Automated Planning.  He will present their work deploying Artificial Intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients.

He will share how a team of researchers directly compared physician evaluations of radiation treatments generated by an AI machine learning (ML) algorithm to conventional radiation treatments generated by humans.

Tom will discuss the planning objectives, the evaluation criteria and the results, showing how this has impacted their daily clinical workflows.  He will discuss which body sites are most applicable and how AI, in general, has impacted their facility and workload. 

Finally, Tom will explain how they arrived at the point of using AI models clinical; through careful planning, judicious stepwise integration into the clinical environment, and involvement of many stakeholders throughout the process of establishing a robust ML program. 

Erik Korevaar, PhD is a Medical Physicist from the University of Groningen in the Netherlands.   He too has been deeply involved in the clinical implementation of machine learning planning for proton planning.  He will demonstrate how automated robust planning for Intensity Modulated Proton Therapy (IMPT) in oropharyngeal cancer patients using machine learning was clinically implemented at the UMCG.

Erik will share the results of a blinded retrospective and prospective study that was performed to compare manual and DL plans.

This activity is part of the celebration of National Medical Dosimetrist's Day and is free to AAMD members and non-members. Once you have logged in, it will display as FREE and will not count against the annual CE credit allowance for Members.

To access the live session on Monday, August 15, 2022:

1. Log into your AAMD CE Center account
2. Click on the title above to select the webinar
3. Register by clicking on Add to My Courses in the left-hand panel
4. Before the live session, click on My Library at the top of your screen, then click on Open Course for this session
5. Under Course Materials, click on the Live Session Access link, this will take you to Zoom.
6. Once in Zoom, you will complete a short registration and then the link for the live session will be emailed to you.