1635-Auto-Segmentation for Thoracic Radiotherapy
This multicenter prospective trial validates the effectiveness of the deep learning model iCurveE in assisting physicians with the delineation of organs at risk for thoracic and breast cancer radiotherapy. By analyzing data from 500 patients across five institutions, researchers demonstrated that AI-assisted contouring significantly improves geometric accuracy and time efficiency compared to traditional manual methods. The study highlights how integrating artificial intelligence reduces performance discrepancies between experienced and less-experienced physicians, thereby promoting healthcare…
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