A published high-impact scientific article from Karolinska Institutet shows that AI-supported image analysis can stratify intermediate-grade breast cancers into low or high grade. This has strong prognostic value and potential to revolutionize breast pathology.
Study shows large variation in biomarkers and grade among Swedish pathology labs calls for AI-supported image analysis
Abstract: We compared estrogen receptor (ER), progesterone receptor (PR), human epidermal growth-factor receptor 2 (HER2), Ki67, and grade scores among the pathology departments in Sweden. We investigated how ER and HER2 positivity rates affect the distribution of endocrine and HER2-targeted treatments among oncology departments. All breast cancer patients diagnosed between 2013 and 2018 in Sweden […]