Automated identification of incidental hepatic steatosis on Emergency Department imaging using large language models.

Journal: Hepatology communications
PMID: 39969431

Abstract

BACKGROUND: Hepatic steatosis is a precursor to more severe liver disease, increasing morbidity and mortality risks. In the Emergency Department, routine abdominal imaging often reveals incidental hepatic steatosis that goes undiagnosed due to the acute nature of encounters. Imaging reports in the electronic health record contain valuable information not easily accessible as discrete data elements. We hypothesized that large language models could reliably detect hepatic steatosis from reports without extensive natural language processing training.

Authors

  • Tyrus Vong
    Division of Gastroenterology & Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Nicholas Rizer
    Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Vedant Jain
    Division of Gastroenterology & Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Valerie L Thompson
    Division of Gastroenterology & Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Mark Dredze
    Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America.
  • Eili Y Klein
    Center for Disease Dynamics, Economics & Policy, Silver Spring, Maryland, United States.
  • Jeremiah S Hinson
    Department of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, United States.
  • Tanjala Purnell
    Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Stephen Kwak
    Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Tinsay Woreta
    Division of Gastroenterology & Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Alexandra T Strauss
    Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States.

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