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Lookup NU author(s): Dr Gurdeep SagooORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 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.
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
Data Access Statement: The analysis was conducted as described in the manuscript based on an already published model cited in the manuscript. All data used to populate the model are publicly available and referenced. All parameters and their values can be found in Tables 4–7. The data sets used can be found in the Supplementary data. Data generated from the analysis and used to construct Tables 1–3 and Fig. 2 have been deposited in Figshare as an Excel file under the name Source Data Mia Model (https://doi.org/10.6084/m9.figshare.23295194). The model was constructed using the Simul8® software Educational site license28. The model is intended for research purposes and its use is limited to this purpose. The model can be provided via a request to the corresponding author to a.vargas-palacios@leeds.ac.uk, however, access will only be granted if the intended use for the model is limited to academic/reproducibility proposes only. When requesting access to the model please indicate clearly the intended use.
PubMed id: 37777510
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