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The power of the radiologist’s last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports?

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The Original Article was published on 04 September 2023

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Authors and Affiliations

  1. Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, USA

    Zezhong Ye

  2. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, USA

    Zezhong Ye

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  1. Zezhong Ye
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Correspondence to Zezhong Ye.

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Ye, Z. The power of the radiologist’s last word: can deep learning models accurately differentiate between high-grade gliomas and metastasis through natural language processing on radiology reports?. Eur Radiol 34, 2110–2112 (2024). https://doi.org/10.1007/s00330-023-10245-7

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  • DOI: https://doi.org/10.1007/s00330-023-10245-7

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