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

20258 citationsJournal Articlegold Open Access

Authors

Cary Oberije · Kheiron Medical Technologies (United Kingdom)

Rachel Currie · Royal Devon & Exeter NHS Foundation Trust

Alice Leaver · Gateshead Health NHS Foundation Trust

Alan Redman · Gateshead Health NHS Foundation Trust

William Teh · Royal Free London NHS Foundation Trust

Nisha Sharma · Leeds Teaching Hospitals NHS Trust

Georgia Fox

Abstract

The granularity of assessment showed that screening with the AI-system integrations was as safe as standard double reading across heterogeneous populations.

Topics & Keywords

AI in cancer detection Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: BMJ Health & Care Informatics

Volume 32, Issue 1, pp. e101318-e101318

DOI: 10.1136/bmjhci-2024-101318

Field-Weighted Citation Impact: 18.29