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How do AI markings on screening mammograms correspond to cancer location? An informed review of 270 breast cancer cases in BreastScreen Norway.

Henrik Wethe KochMarthe LarsenHauke BartschMarit Almenning MartiniussenBodil Margrethe StyrSiri FagerheimIngfrid Helene Salvesen HaldorsenSolveig Hofvind
Published in: European radiology (2024)
• All screen-detected and 78% of the interval cancers with high AI risk score (AI score of 10) had AI markings in one or two views corresponding to the location of the cancer on diagnostic images. • Among all 120 interval cancers with an AI score of 10, 21% (25/120) were classified as a false negative or minimal sign significant and had AI markings matching the cancer location, suggesting they may be visible on prior screening. • Most of the correctly located interval cancers matched only in one view, and the majority were classified as either true negative or minimal sign non-specific, indicating low potential for being detected earlier in a real screening setting.
Keyphrases
  • artificial intelligence
  • papillary thyroid
  • squamous cell
  • childhood cancer
  • deep learning
  • machine learning
  • squamous cell carcinoma
  • risk assessment
  • high throughput
  • convolutional neural network