AI can help reduce workload, scan times for breast MRI


A team led by Dr. Xueping Jing from the University of Groningen in the Netherlands found that a deep-learning model they developed also showed high sensitivity and negative predictive values, as well as a nearly 17% scan time reduction.


“Reduced scanning and interpretation time could result in significantly lower breast MRI screening costs, making it possible to provide MRI screening for a wider population,” Jing and colleagues wrote.


Dynamic contrast-enhanced MRI has advantages as a supplementary screening tool for breast cancer. These include detecting more breast cancer cases than…



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