Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study.

Abstract

Authors

• Cary J G Oberije
  The D-Lab & The M-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
• Rachel Currie
  Breast Screening Programme, Royal Devon and Exeter NHS Foundation Trust, Exeter, Devon, UK.
• Alice Leaver
  Breast Screening Unit, Gateshead Health NHS Foundation Trust, Gateshead, Gateshead, UK.
• Alan Redman
  Breast Screening Unit, Gateshead Health NHS Foundation Trust, Gateshead, Gateshead, UK.
• William Teh
  Breast Screening Programme, Royal Free London NHS Foundation Trust, London, UK.
• Nisha Sharma
  Leeds Teaching Hospital NHS Trust, Department of Radiology, Leeds, UK.
• Georgia Fox
  Kheiron Medical Technologies, London, UK.
• Ben Glocker
  Kheiron Medical Technologies, London, UK.
• Galvin Khara
  Kheiron Medical Technologies Limited, London, Greater London, UK.
• Jonathan Nash
  Kheiron Medical Technologies, London, UK.
• Annie Y Ng
  Kheiron Medical Technologies, London, UK.
• Peter D Kecskemethy
  Kheiron Medical Technologies, London, UK.

Keywords

External Resources