Use of Artificial Intelligence in Breast Cancer Screening: Impact of AI-Assisted Single Reading by One Radiologist on Screening Quality Indicators Compared to Standard Double Reading by Two Radiologists Without AI
Use of Artificial Intelligence in Breast Cancer Screening: Impact of AI-Assisted Single Reading by One Radiologist on Screening Quality Indicators Compared to Standard Double Reading by Two Radiologists Without AI
A randomized prospective study comparing the evaluation of mammography images in a breast cancer screening programme by a single radiologist with AI support versus standard double reading by two radiologists without AI support.
In the intervention group, the first reading of the screening mammogram will be performed by one radiologist with AI support. After this AI-assisted first reading is completed and recorded for the study, a standard second reading will be carried out by another radiologist. This ensures that the legal requirement for double reading in the breast cancer screening program is maintained.
In the control group, mammograms will be evaluated according to the current standard practice - that is, independently by two radiologists without AI support.
Participants will be divided to the two groups based on a randomization scheme that determines specific days for evaluation with AI (Group 1) and without AI (Group 2). The randomization ensures equal distribution of weekdays between the two groups to minimize bias due to variability in daily workflow, diagnostic/screening ratios, or other operational factors.
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