Diagnostic Imaging January 25, 2022
In a simulated clinical workflow, researchers found the use of an artificial intelligence model significantly decreased the number of exams that required interpretation by a radiologist.
Emerging research suggests that artificial intelligence (AI) may play a key role in reducing the breast cancer screening workload for radiologists.
In a retrospective study involving 4,310 women and a total of 5,182 digital breast tomosynthesis (DBT) procedures, the authors found that utilization of an AI model to filter out normal DBT exams led to a 39.6 percent reduction in workload, similar sensitivity for detecting breast cancer (90.0 percent compared to 90.8 percent for radiologist-led screenings) and a 25 percent lower recall rate (6.9 percent compared to 9.2 percent for radiologists).
“We envision that...
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