The Use of AI to Safely Reduce the Workload in Breast Cancer Screening With Mammography in Region Östergötland

The overall aim of the project is to investigate how artificial intelligence (AI) can be used to streamline and at the same time increase diagnostic safety in breast cancer screening with mammography. AI has been shown in a number of studies to have great potential for both increasing diagnostic certainty (e.g. reduced occurrence of interval cancers) and at the same time reducing the workload for doctors. However, much research remains to clinically validate these new tools and to increase the understanding of how they affect the work of doctors. The specific goal of the project is to investigate whether the implementation of AI in breast cancer screening in Östergötland, Sweden, can increase the sensitivity (the mammography examination's ability to find breast cancer) and the specificity (that is, the right case is selected for further investigation: a minimum of healthy women are recalled but so many breast cancer cases that are possible are selected for further investigation) and at the same time make screening more efficient through reduced workload. AI will be implemented in the clinical routine and performance metrics such as cancer detection rate etc will be closely monitored. The study do not assign specific interventions to the study participants.

Sex

Female

Minimum age

40 Years

Maximum age

74 Years

Inclusion Criteria:

Women participating in the regular Breast Cancer Screening Program in Region Östergötland

Exclusion Criteria:

Women with breast implants or other foreign implants in the mammogram Women with symptoms or signs of suspected breast cancer