This paper, “Decision Support Systems in Oncology,” provides an overview of multifactorial decision support systems (DSSs) and their role in enabling precision medicine. It highlights how DSSs, as continuously learning AI platforms, integrate clinical, imaging, biological, genetic, and cost data to generate predictive models that support optimal treatment decisions.

The paper discusses the application of DSSs at both strategic levels (e.g., multidisciplinary tumor boards) and tactical levels (e.g., treatment techniques), their potential to improve clinical decision-making, and the challenges and opportunities they present in oncology.