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Could AI help reduce DBT workloads?



A team led by Yoel Shoshan and Ran Bakalo from the University of Haifa in Israel developed an AI model that they say can filter out cancer-free cases and keep up with radiologists in terms of accuracy.

“Because 99.5% of screening examinations are cancer free, deploying such an AI system to optimize screening reads could be of substantial value,” the group wrote.

The use of DBT is expected to grow worldwide, with previous research showing its ability to improve cancer detection and improve recall rate over conventional mammography. However, one downside to using DBT is it requires about…


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Radiology AI
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