A study published in Radiology determined that an artificial intelligence (AI) algorithm could reduce the digital breast tomosynthesis (DBT) and mammography (DM) workload of radiologists without impacting diagnostic accuracy.
A total of 15,987 DM and DBT examinations (which included 98 screening-detected and 15 interval cancers from the 15,987 women were evaluated. In comparison with the double reading of the DBT images, AI with DBT would result in 72.5% less workload, noninferior sensitivity, and a 16.7% lower recall rate. Similar results were obtained for AI and DM.
AI could obviate over 70% of radiologists' double reading thus enable DBT adoption in breast cancer screening programs.
