UC9: Dataset for AI-Powered Prostate Cancer Treatment Optimization

The UC9: Dataset for AI-Powered Prostate Cancer Treatment Optimization represents an integrative dataset combining insights and features from all previous use cases (UC1–UC8). It includes clinical, imaging, pathology, treatment, toxicity, and longitudinal outcome data, enabling the development of a holistic AI-driven decision support system. This dataset is designed to address the full continuum of prostate cancer care—from initial diagnosis and risk stratification to treatment selection and follow-up. By leveraging AI, the system aims to assess the presence or absence of prostate cancer, distinguish between clinically significant and non-significant cases, and recommend personalized treatment pathways such as radical prostatectomy, radiation therapy, or active surveillance. Importantly, the system incorporates toxicity and quality of life data to minimize side effects and promote patient-centered care. UC9 serves as the foundation for a unified platform that supports clinicians in making evidence-based, individualized treatment decisions. The holistic nature of this dataset facilitates multi-factorial analysis and optimization, improving clinical outcomes while aligning with patient preferences and health system efficiency.