Our Latest News


Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations

Read the full publication here Purpose Artificial intelligence (AI) has shown promising results when used on retrospective data from mammographic

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

Reduced workload for breast radiologists: results from a retrospective study using artificial intelligence in mammographic screening

Purpose Transpara has the potential to reduce radiologists’ workload in mammographic screening without reducing cancer detection. Studies with retrospective data

Read more

AI-based strategy to reduce the recall rate and consensus meeting workload of double reading in breast cancer screening with digital mammography: a retrospective evaluation

Purpose To evaluate Transpara when implemented as autonomous artificial intelligence (AI) based triaging strategy in breast cancer screening as compared

Read more

An AI-based Mammography Screening Protocol: Outcome and Radiologists Workload

Link to the article Background: Developments in artificial intelligence (AI) systems to assist radiologists in reading screening mammograms could improve

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
Load More