AI may be more accurate vs. traditional methods at classifying patients into prostate cancer risk groups

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For localized prostate cancer, multimodal artificial intelligence models have revealed a more accurate way to assess prostate cancer risk.  By combining advanced artificial intelligence with digital pathology images and clinical data, researchers developed a way to approach risk classification that outperforms traditional methods. These findings were published in JCO Precision Oncology. The research found that...

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