RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports.

Journal: European radiology
Published Date: Feb 13, 2025

Abstract

OBJECTIVES: Radiology reports contain valuable information for research and audits, but relevant details are often buried within free-text fields. This makes them challenging and time-consuming to extract for secondary analyses, including training artificial intelligence (AI) models.

Authors

  • Lewis Howell
    School of Computing, University of Leeds, Leeds, LS2 9JT, UK; School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Amir Zarei
    Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, LS9 7TF, UK.
  • Tze Min Wah
    Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, LS9 7TF, UK.
  • James H Chandler
    School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK.
  • Shishir Karthik
    Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, LS9 7TF, UK.
  • Zara Court
    Leeds Teaching Hospitals NHS Trust, Leeds, LS9 7TF, UK.
  • Helen Ng
    Leeds Teaching Hospitals NHS Trust, Leeds, LS9 7TF, UK.
  • James R McLaughlan
    School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK; Leeds Institute of Medical Research, University of Leeds, St James' University Hospital, Leeds, LS9 7TF, UK. Electronic address: j.r.mclaughlan@leeds.ac.uk.

Keywords

External Resources

Popular Topics
Recent Journals