UC6: Dataset for Recurrence Risk Prediction After Radiation Therapy

The UC6: Dataset for Recurrence Risk Prediction After Radiation Therapy contains comprehensive data from patients who have undergone radiation therapy for prostate cancer. It includes both patients who experienced biochemical relapse and those who did not, as well as post-treatment data on therapy-induced toxicities. This dataset is designed to enable the development of predictive models that assess the likelihood of disease recurrence early in the post-treatment timeline. By integrating clinical, imaging, and toxicity-related information, the dataset facilitates the creation of AI tools that can inform personalized treatment planning. These tools aim to identify patients who are at higher risk of recurrence and may benefit from modified or intensified therapeutic approaches, while also helping to minimize adverse effects for those likely to respond well to standard radiation protocols. Clinically, the dataset provides a foundation for adaptive radiation therapy strategies that improve patient outcomes, reduce unnecessary side effects, and optimize healthcare resource utilization.