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Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.

Mi-Ri KwonYoosoo ChangSoo Youn HamYoosun ChoEun Young KimJeonggyu KangEun Kyung ParkKi Hwan KimMinjeong KimTae Soo KimHyeonsoo LeeRia KwonGa-Young LimHye Rin ChoiJunHyeok ChoiShin Ho KookSeungho Ryu
Published in: Breast cancer research : BCR (2024)
AI-based software showed slightly lower sensitivity, although the difference was not statistically significant. However, it outperformed radiologists in recall rate, specificity, PPV, and AUC, with disparities most prominent in extremely dense breast tissue.
Keyphrases
  • artificial intelligence
  • machine learning
  • healthcare
  • magnetic resonance imaging
  • label free
  • real time pcr
  • image quality
  • computed tomography
  • structural basis