Development of a novel AI-based risk stratification model for intermediate risk breast cancer patients
This study is one of the first AI-based computational pathology studies that focus on precision diagnostics, i.e. extracting novel information that can be used to risk stratify patients beyond current clinical routine. The results were successfully validated in and independent cohort. The findings were published in a high impact journal (Annals of Oncology, IF=51.7). The method has direct clinical relevance, and has lead to the development of a SaaS -based implementation that has been approved for clinical use in the European Union (see https://www.stratipath.com/news/).
Wang Y, Acs B, Robertson S, Liu B, Solorzano L, Wählby C, Hartman J, Rantalainen M. Improved breast cancer histological grading using deep learning, Annals of Oncology. 2021