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

ABSTRACT: 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

SUBMITTER: Vargas-Palacios A 

PROVIDER: S-EPMC10542368 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature