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    3. Zooming in on AI-Based Image Interpretation

    Zooming in on AI-Based Image Interpretation

    3min
    Martin Lindner
    Published on January 10, 2019
    AI is key for an image interpretation technology also seen in breast cancer imaging.

    Leveraging AI for imaging workflows and reading

    Proposed diffusion-weighted, high-b-value imaging for noncontrast breast cancer imaging.

    Courtesy of R. Mann, Radboud Nijmegen, The Netherlands

    Image-data based phenotyping of disease

    The data-based approach to image interpretation called radiomics enables recognition of imaging signatures.

    Predicting cancer recurrence

    Comprehensive, multiparametric breast MRI in a 39-year-old female with cancer of the left breast

    Courtesy of AZ Sint-Maarten, Belgium

    Radiomics image interpretation is likely to play a key role with the aid of AI in Radiology.
    By Martin Lindner

    Martin Lindneris is an award-winning science writer based in Berlin, Germany. After completing his medical studies and a doctoral thesis in the history of medicine, he went into journalism. His articles have appeared in many major German and Swiss newspapers and magazines.

    1. Li H, Zhu Y, Burnside ES, et al. (2016) MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology 281:382-391

    1. Products and features mentioned herein are under development and not commercially available. Future availability cannot be ensured.

      Results and statements displayed in this article have been discussed during the European Congress of Radiology 2018 in Vienna, Austria.

    2. The statements by Siemens Healthineers customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.