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...
Cancer AI Alliance announced its first wave of eight pilot projects across a federated learning platform. These projects represent the first wave of the organization’s efforts and aim to demonstrate that it is possible to analyze vast amounts of data while keeping patient privacy secure at the local level.
