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Cost-effectiveness requirements for implementing artificial intelligence technology in the Women’s UK Breast Cancer Screening service

Lookup NU author(s): Dr Gurdeep SagooORCiD

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Abstract

© 2023, Springer Nature Limited. The UK NHS Women’s National Breast Screening programme aims to detect breast cancer early. The reference standard approach requires mammograms to be independently double-read by qualified radiology staff. If two readers disagree, arbitration by an independent reader is undertaken. Whilst this process maximises accuracy and minimises recall rates, the procedure is labour-intensive, adding pressure to a system currently facing a workforce crisis. Artificial intelligence technology offers an alternative to human readers. While artificial intelligence has been shown to be non-inferior versus human second readers, the minimum requirements needed (effectiveness, set-up costs, maintenance, etc) for such technology to be cost-effective in the NHS have not been evaluated. We developed a simulation model replicating NHS screening services to evaluate the potential value of the technology. Our results indicate that if non-inferiority is maintained, the use of artificial intelligence technology as a second reader is a viable and potentially cost-effective use of NHS resources.

Publication metadata

Author(s): Vargas-Palacios A, Sharma N, Sagoo GS

Publication type: Article

Publication status: Published

Journal: Nature Communications

Year: 2023

Volume: 14

Online publication date: 30/09/2023

Acceptance date: 17/09/2023

Date deposited: 18/06/2024

ISSN (electronic): 2041-1723

Publisher: Springer Nature

URL: https://doi.org/10.1038/s41467-023-41754-0

DOI: 10.1038/s41467-023-41754-0

PubMed id: 37777510

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