The most clinically validated Breast AI on the market, Transpara provides radiologists with a ‘second pair’ of eyes to help detect cancers earlier and reduce recall rates.

ScreenPoint will highlight its latest advancements, which include Transpara 2.1: an updated algorithm based on additional training and insights gathered from luminary users around the world. Transpara 2.1 is compatible with options for breast density (BIRADS and volumetric) and temporal comparison. Allowing suspicious areas on a current study to be analyzed against up to 3 priors over 6 years, the robust temporal comparison capability will be the first of its kind in the market. The Transpara 2.1 algorithm is both CE marked and FDA cleared.

With the  algorithm improvements, the system standalone performance is demonstrated to be in the top 10% of radiologists in a presentation by Alejandro Rodriguez Ruiz, PhD at ECR 2024.

“Taking tissue changes into account for characterization of findings is a long awaited feature of AI,” said Professor Nico Karssemeijer, PhD, co-founder and Chief Scientific Officer of ScreenPoint Medical. “We are very excited about the significant improvement of Transpara performance when priors are used, especially when more priors with a longer time interval are included, which is in line with radiologists’ experience. Our solution is designed for screening and diagnostic use to truly improve clinical workflow. Use of priors hardly increases computation time, and we provide the user with information about the effect of priors on the final result to increase confidence and transparency.”