Automated structured data extraction from intraoperative echocardiography reports using large language models.

Journal: British journal of anaesthesia
PMID:

Abstract

BACKGROUND: Consensus-based large language model (LLM) ensembles might provide an automated solution for extracting structured data from unstructured text in echocardiography reports.

Authors

  • Emily J MacKay
    Department of Anesthesiology and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Shir Goldfinger
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA.
  • Trevor J Chan
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
  • Rachel H Grasfield
    School of Medicine and Health Sciences, Des Moines University, Des Moines, IA, USA.
  • Vikram J Eswar
    Department of Anaesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Kelly Li
    Harvard Medical School, Harvard University, Boston, MA, USA.
  • Quy Cao
    Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Alison M Pouch
    Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.