No Cap, AI Contouring is Straight Fire in Radiation Therapy

The Accelerators (Drs. Matt Spraker and Simul Parikh) host Christine Gnaster, MS, DABR, FAAPM, Vice President of Product of Radformation and medical physicist Chelsea Page-Robertson for a #MedEd discussion of AutoContour, ClearCheck, and the use of AI in Radiation Oncology. 

Christine kicks us off with an approachable overview of how tools like AutoContour actually work. We discuss how Radformation have trained hundreds of models to help you contour in clinic. She also shares how they are approaching current challenges in the field of automated contouring. 

We then discuss ClearCheck, how it is linked to AutoContour, and why it is so much more than a checklist for dosimetry review. Chelsea shares how her and Matt have implemented AutoContour and ClearCheck in their practice. 

We close with a discussion of the "psychology" of implementing AI tools in the Radiation Oncology clinic. Should we trust the computer to draw clinical target volumes? Are we planning to green boxes? Are these tools going to us worse clinicians? 

Plus, all the (live) music that makes us happy.

Here are some other things we discussed during the show:

• See a list of AutoContour's included models
• Radformation Acquires Limbus AI
• TAP Re-irradiation Episode
• AAPM TG 132
• Dean et al., CB-CHOP plan review strategy
• Chen et al., Physician vs. AI Chat Bot for cancer
• Physics World, "Automation in the radiotherapy workflow"
• Batumalai et al., Survey of RO professionals perceptions of automation

Editor's Note: While our love for their products is genuine, The Accelerators were compensated for this episode and Radformation participated in planning the content. The discussions in this episode are the opinions of the participants and are not clinical advice.

Please see our website for complete information on our past and current sponsors.

The Accelerators Podcast is a Photon Media production.