Our Latest News

News



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

Conclusion: Using Transpara concurrently in clinical practice allows to stratify examinations according to probability of cancer. Transpara increases cancer detection

Read more


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

Conclusion: We found in a retrospective analysis that Transpara as a replacement for a second radiologist in a double reading

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

Conclusion: Not reading exams with Transpara score 1-6 can reduce radiologists’ RR and workload in screening at the cost of

Read more


Implementing AI to predict interval cancers in a national screening program

Conclusion: Transpara has the potential to reduce the stable high rate of interval cancer in case it is applied as

Read more


Using an AI system and breast density to quantify the short-term risk of interval cancer in screening: a large retrospective evaluation

Conclusion: Transpara findings combined with breast density significantly improves detection of interval cancers.

Read more


Using AI with single reading in screening: a simulation of the impact on tumour characteristics of detected cancers

Conclusion: Transpara can replace a radiologist in a double reading screening program, resulting in similar tumor characteristics compared to double

Read more
Load More