Amerigo Allegretto, Jun 4, 2024
AI reduces breast radiologist workload while also improving screening performance and decreases the number of false-positive findings, according to a study published June 4 in Radiology.
A team led by Andreas Lauritzen, PhD, from the University of Copenhagen in Denmark found that the commercially available AI system used in a population-based mammography study led to a 20% decrease in the recall rate and a 33% decrease in reading workload.
“I think [AI] will add a lot of value to the radiologists themselves, where they have the tools and they can see markings from the AI,” Lauritzen told AuntMinnie.com. "They can prioritize their time and resources to the cases that actually matter."
Retrospective studies have suggested that using AI can lessen the burden radiologists face when interpreting mammograms. Lauritzen and colleagues added that AI systems could serve as supportive tools for stratifying screenings based on breast cancer probability -- a possibility that has motivated exploration of their use in population-based breast cancer screening.
The researchers hypothesized that letting radiologists read mammograms with AI-assisted decision support and AI-provided lesion markings could increase screening sensitivity. They performed a study for which they compared workload and screening performance for two patient cohorts who underwent screening before and after the implementation of an AI system (Transpara v.1.7.1, ScreenPoint Medical).
Read the full article on Auntminne.com
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