Selection and Implementation of AI Contouring At Scale; Icon’s AutoContour Experience
In this webinar, we uncover the process of evaluating and implementing AI contouring for more efficient treatment planning at scale. We highlight Icon’s collaborative approach to carefully selecting an AI segmentation tool that conforms to their rigorous demands for high-quality structures to accelerate the planning workflow.
We dive into Icon’s methodological review of deep-learning solutions for this stage of the workflow, including both quantitative measures and qualitative human/workflow factors. Presentations from Huong Nguyen and Aidan Leong elucidate the factors that allowed them to confidently decide on a solution that fit their needs.
With a network as large as Icon’s, their “fast and big” implementation of AutoContour is nothing short of impressive. The presentations detail the mechanics of going live with new AI contouring software in 33 sites in a matter of just 20 days. They detail the steps to make this happen, as well as provide updates on the results of their wide implementation.
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