Abstract
Objective: At present, there is no universally accepted objective method for predicting which patients will reach optimal cytoreduction after primary debulking surgery for high-grade serous ovarian cancer (HGSC). Our objective was to predict which patients will obtain optimal surgical outcomes in advanced-stage HGSC using preoperative radiologic images processed with convolutional neural networks and artificial intelligence.
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