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Prediction of malignancy upgrade rate in high-risk breast lesions using an artificial intelligence model: a retrospective study

Ozge AslanAyşenur OktayBaşak KatukRiza Cenk ErdurOğuz DikenelliLevent YeniayOsman ZekiogluSüha Süreyya Özbek
Published in: Diagnostic and interventional radiology (Ankara, Turkey) (2023)
Our artificial intelligence model (SVM) can predict HRLs that can be followed up with a lower risk of accompanying malignancy. Unnecessary surgeries can be reduced, or second line vacuum excisions can be performed in HRLs, which are mostly benign, by evaluating on a case-by-case basis, in line with radiology-pathology compatibility and by using an artificial intelligence model.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning