Our Latest News

News



Artifcial intelligence in BreastScreen Norway: a retrospective analysis of a cancer‑enriched sample including 1254 breast cancer cases

Read the full publication here Purpose To compare results of selected performance measures in mammographic screening for Transpara versus independent

Read more


Artificial intelligence (AI) allows safe workload reduction in breast cancer screening: A retrospective study

Purpose Retrospective simulation to test the potential of Transpara to safely reduce workload in the clinical workflow of a double-reading

Read more


Evaluation of the performance of artificial intelligence (AI) after one year of use in breast cancer screening practice: is the promise being delivered?

Purpose To evaluate the impact of using Transpara as support for human double reading in a breast cancer screening program

Read more


Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

Read the full publication Background: Artificial intelligence (AI) has shown promising results for cancer detection in mammographic screening. However, evidence

Read more


Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms

https://pubs.rsna.org/doi/10.1148/radiol.210832  Background: Inclusion of mammographic breast density in breast cancer risk models improves accuracy, but accuracy remains modest. Interval cancer

Read more


Commercially available AI system for breast cancer detection shows promise for risk prediction, including among women with dense breasts

AIM AND OBJECTIVE AI algorithms have been developed to improve detection of breast cancer at the time of mammography. Whether

Read more
Load More