What is the problem

Cancer survivorship focuses on increasing the quality of life of survivors from time of diagnosis, through the course of their life. Many factors contribute to survivors' quality of life including functional, physical, psychosocial, and economic factors. Novel AI techniques, radiomics, and real world data may be able to help positivily influence survivors' quality of life and course of treatment. How can we use novel technology to improve cancer survivorship care?

What are we doing

In a retrospective cohort study, we are investigating a fracture modeling system's potential to improve the ability of providers to predict metastatic prostate cancer related fractures within academic medical and Veterans' Health institutions utilizing routine, diagnostic CT scans. If successful, this would be the first diagnostic radiology based solution to predict downstream complication in cancer survivorship. In collaboration with four regionally diverse academic medical centers, we performed the first study to gauge cancer related outcomes among patients who were administered inpatient immunotherapy.


Understandings of cancer survivorship are essential to the design, delivery, and implementation of evidence-based strategies and the coordination of healthcare services to optimize survivors’ health and quality of life from the time of diagnosis through the remainder of the survivor’s life. Novel technology based solutions to healthcare problems have the potential to be essential to healthcare reform.