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Prediction and Mapping of Intraprostatic Tumor Extent with Artificial Intelligence

Alan Priester,Richard E. Fan,Joshua Shubert,Mirabela Rusu,Sulaiman Vesal,Wei Shao,Yash Samir Khandwala,Leonard S. Marks,Shyam Natarajan,Geoffrey A. Sonn

European Urology Open Science（2023）

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Abstract
A multimodal artificial intelligence (AI) model, trained to estimate prostate cancer probability in three dimensions, was retrospectively validated using prostatectomy data. AI-generated focal treatment margins outperformed conventional techniques. Furthermore, the AI model predicted negative margin probability accurately.
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Key words
Artificial intelligence, Magnetic resonance imaging, Prostatic neoplasms, Surgical margins, Surgical pathology
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