Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical equations can approximate the underlying physics of weather, tiny ...

Accurate prediction of early postoperative recurrence in hepatocellular carcinoma (HCC) remains challenging. We developed and validated an interpretable machine learning model to predict early ...

The prediction of patient disease risk via computed tomography (CT) images and artificial intelligence techniques shows great potential. However, training a robust artificial intelligence model ...

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

At the San Antonio Breast Cancer Symposium, researchers presented findings on Clarity BCR, a multimodal multitask deep-learning algorithm that aims to estimate late distant recurrence risk in hormone ...