Transitioning Linac QA from time based testing to data-driven quality management is hindered by the high technical barrier of developing custom clinical tools. This work demonstrates "vibe coding” as a viable solution, leveraging...
AAPM | COMP Joint Meeting · Vancouver · July 19-22
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To evaluate whether deep learning models trained on a small number of high-quality plans (e.g., ≤30) can predict dose distributions of comparable quality, and whether the predicted quality improvements are achievable.
To assess the feasibility of distributing the workload of manufacturing 3-dimensional (3D) printed Winston-Lutz (W-L) phantoms for donation purposes across multiple locations and a variety of printers
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