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...
An artificial intelligence-based model developed by UT Southwestern Medical Center researchers can accurately predict which kidney cancer patients will benefit from anti-angiogenic therapy, a class of treatments that’s only effective in some patients.
