In breast cancer screening programs, such as the one running in the Netherlands, a high volume of mammography data is acquired. Radiologists have to evaluate hundreds of images every day with precision and often under time pressure. Artificial intelligence (AI) offers radiologists smart support: “It’s like having an additional colleague at the press of a button,” says radiologist Ritse Mann of Radboud University Medical Center, Nijmegen, the Netherlands.
AI-driven case scoring holds great potential
The performance matches that of a good radiologist.Ritse Mann, MD, PhD, head of breast imaging, Radboud University Medical Center, Nijmegen, the Netherlands.
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 Rodriguez-Ruiz A, Lång K, Gubern-Merida A, Broeders M, Gennaro G, Clauser P, Helbich T, et al. Stand-alone artificial intelligence for breast cancer detection in mammography: Comparison with 101 radiologists. J Natl Cancer Inst. 2019 Sep;111(9): 916–922. https://doi.org/10.1093/jnci/djy222
Rodriguez-Ruiz A, Krupinski E, Mordang J, Schilling K, Heywang-Kobrunner S, Sechopoulos I, et al. Detection of breast cancer using mammography: Impact of an Artificial Intelligence support system. Radiology. 2019 Feb;290(2), 305-314. https://doi.org/10.1148/radiol.2018181371
Rodriguez-Ruiz A, Lång K, Gubern-Merida A, Teuwen J, Broeders M, Gennaro G, Clauser P, et al. Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study. Eur Radiol. 2019 Sep;29(9):4825-4832. https://doi.org/10.1007/s00330-019-06186-9
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