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AI algorithms outperform risk model in predicting breast cancer risk

Researchers led by Vignesh Arasu, MD, PhD, from Kaiser Permanente Northern California in Oakland also found that when AI was combined with risk models, breast cancer prediction improved.

“Our results imply that mammography AI algorithms alone may provide a clinically meaningful improvement compared with current clinical risk models at early time horizons, with further improvements in prediction when AI and clinical risk models are combined,” Arasu and co-authors wrote.

Although several risk models are employed to guide breast cancer screening and prevention strategies, the researchers…

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