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Stand-alone AI can reduce radiologists’ screening mammography workloads by 90%



“Use of AI as the only stand-alone reader of screening studies could be a cost-effective approach by removing all the workload of reading screening findings, allowing radiologists to focus on only the AI-recalled findings,” corresponding author, Sara Romero-Martin, from the Department of Radiology at Hospital Universitario Reina Sofía, and co-authors explained.

In their retrospective examination of 15,999 DM and DBT exams, AI achieved non-inferior sensitivity compared to radiologists for both DM and DBT. In DM exams, the recall rate was reduced by 2%, though it did increase for…


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Radiology AI
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