Ontology highlight
ABSTRACT: Purpose
Artificial intelligence (AI)-based computer-aided detection/diagnosis (CADe/x) has helped improve radiologists' performance and provides results equivalent or superior to those of radiologists' alone. This prospective multicenter cohort study aims to generate real-world evidence on the overall benefits and disadvantages of using AI-based CADe/x for breast cancer detection in a population-based breast cancer screening program comprising Korean women aged ≥ 40 years. The purpose of this report is to compare the diagnostic accuracy of radiologists with and without the use of AI-based CADe/x in mammography readings for breast cancer screening of Korean women with average breast cancer risk.Methods
Approximately 32,714 participants will be enrolled between February 2021
SUBMITTER: Chang YW
PROVIDER: S-EPMC8876543 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature