Amanda Dibden is a statistician at Queen Mary University of London. Here she highlights the main results from her recently published worldwide review and meta-analysis… Read More »Is mammography screening still worthwhile? The results of a review provide some answers…
This posting is an abbreviated version of a lecture given by Peter Sasieni at the Karolinska Institute on the occasion of the PhD thesis defence… Read More »Statistical modelling of tumour growth and spread
In the final of our posts regarding the recent major international evaluation of AI in breast cancer screening, we consider how AI could be used… Read More »Artificial Intelligence in breast cancer screening – part 4: personalising screening
In the third of our posts regarding the recent major international evaluation of AI in breast cancer screening, we consider what might be the implications… Read More »Artificial Intelligence in breast cancer screening – part 3: implications for the UK
Previously we reported on a major study evaluating AI as a tool to identify breast cancer on mammography. The results were impressive. In the UK,… Read More »Artificial Intelligence in breast cancer screening – part 2: international differences
Despite many technological advances in mammographic imaging over the last century, breast cancer screening is largely the same as it was when first studied 60… Read More »Artificial Intelligence in breast cancer screening – part 1: are computers developing 20/20 vision?
