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

Autor: Vargas-Palacios, Armando, Sharma, Nisha, Sagoo, Gurdeep S.
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Zdroj: Nature Communications; 9/30/2023, Vol. 14 Issue 1, p1-11, 11p
Abstrakt: 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. AI technology has the potential to substitute a human reader to aid services struggling to recruit staff or meet patient demand. Here, the authors show that the technology is a viable and potentially cost-effective strategy for use in the NHS. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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