Automatic classification and prioritisation of actionable BI-RADS categories using natural language processing models.

Journal: Clinical radiology
Published Date:

Abstract

AIM: To facilitate the routine tasks performed by radiologists in their evaluation of breast radiology reports, by enhancing the communication of relevant results to referring physicians via a natural language processing (NLP)-based system to classify and prioritise Breast Imaging Reporting Data System (BI-RADS).

Authors

  • P López-Úbeda
    NLP Department, HT Médica, C. Carmelo Torres 2, 23007 Jaén, Spain. Electronic address: p.lopez@htmedica.com.
  • T Martín-Noguerol
    MRI Unit, Radiology Department. HT Medica, Jaén, Spain. Electronic address: t.martin.f@htime.org.
  • A Luna
    MRI Unit, Radiology Department. HT Medica, Jaén, Spain.