Gross failure rates and failure modes for a commercial AI‐based auto‐segmentation algorithm in head and neck cancer patients
Simon W. P. Temple,
Carl G. Rowbottom
Abstract:PurposeArtificial intelligence (AI) based commercial software can be used to automatically delineate organs at risk (OAR), with potential for efficiency savings in the radiotherapy treatment planning pathway, and reduction of inter‐ and intra‐observer variability. There has been little research investigating gross failure rates and failure modes of such systems.Method50 head and neck (H&N) patient data sets with “gold standard” contours were compared to AI‐generated contours to produce expected mean and st… Show more
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