Künstliche Intelligenz in der modernen Mammadiagnostik

Translated title of the contribution: Artificial intelligence in modern breast diagnostics

Maggie Banys-Paluchowski*, Laura Dussan Molinos, Marcus Rübsamen, Thilo Töllner, Achim Rody, Tanja Fehm, Nana Bündgen, Natalia Krawczyk

*Corresponding author for this work


The use of artificial intelligence (AI) is currently under investigation in various fields of medicine. In breast diagnostics the use of AI-guided systems is already reality, especially in the screening setting. It is hoped that in this way the workflow can be simplified and the radiologist can be supported through automatic assessment of the breast density and the risk of malignancy. The use of AI in breast ultrasound focuses mainly on automated breast ultrasound (ABUS). An estimation of the dignity of a region of interest selected by the investigator on a B-mode picture is also possible using modern systems. Furthermore, in magnetic resonance imaging (MRI) of the breast AI could contribute to the development of a useful algorithm. The so-called Kaiser score is available online for radiologists and helps to estimate the risk of malignancy from MRI findings.

Translated title of the contributionArtificial intelligence in modern breast diagnostics
Original languageGerman
Issue number10
Pages (from-to)771-782
Number of pages12
Publication statusPublished - 10.2022

Research Areas and Centers

  • Research Area: Luebeck Integrated Oncology Network (LION)
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)


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