Artificial intelligence in mammography

Dr Sian Taylor-Phillips, professor of population health, University of Warwick. Dr Taylor-Phillips authored the UK National Screening Committee (NSC) position statement, and is funded by an National Institute for Health Research Career Development Fellowship to develop guidance on evaluation of new tests for UK screening programmes. She is also a member of the UK NSC Artificial Intelligence (AI) Task Group (unpaid) and has been commissioned by Public Health England to evaluate mammography AI in breast screening on behalf of the UK NSC.

Dr Matthew Wallis, consultant radiologist, Cambridge University Hospitals (CUH) NHS Foundation Trust. Dr Wallis co-authored evidence presented in the published evidence section of this briefing. CUH received grant funding related to the OPTIMAM database.

Dr Lucy Warren, clinical scientist, Royal Surrey County Hospital (RSCH) NHS Foundation Trust. Dr Warren works on the OPTIMAM image database (OMI-DB). Images from this have been shared with over 40 AI companies and may have been used to train technologies included in this briefing. She is also involved in a collaboration between RSCH and ScreenPoint Medical to independently evaluate their AI algorithm.