Bidirectional Encoder Representations from Transformers in Radiology: A Systematic Review of Natural Language Processing Applications.

Journal: Journal of the American College of Radiology : JACR
Published Date: Jan 30, 2024

Abstract

INTRODUCTION: Bidirectional Encoder Representations from Transformers (BERT), introduced in 2018, has revolutionized natural language processing. Its bidirectional understanding of word context has enabled innovative applications, notably in radiology. This study aimed to assess BERT's influence and applications within the radiologic domain.

Authors

  • Larisa Gorenstein
    Department of Diagnostic Imaging, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: larisagorenshtein@gmail.com.
  • Eli Konen
  • Michael Green
    School of Electrical Engineering, Tel-Aviv University, Ramat-Aviv, Israel.
  • Eyal Klang
    Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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