Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study.

Journal: Cerebrovascular diseases extra
PMID: 40096831

Abstract

INTRODUCTION: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart review to screen for thrombolysis contraindications may be time-consuming and prone to errors. We developed and tested a large language model (LLM)-based tool to identify thrombolysis contraindications from clinical notes using synthetic data in a proof-of-concept study.

Authors

  • Bing Yu Chen
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Fares Antaki
    Department of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.
  • Marco Gonzalez
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Ken Uchino
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Samer Albahra
    Pathology & Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
  • Scott Robertson
    Pathology and Laboratory Medicine Institute (PLMI), Cleveland Clinic, Cleveland, OH, United States; PLMI's Center for Artificial Intelligence & Data Science, Cleveland Clinic, Cleveland, OH, United States.
  • Sidonie Ibrikji
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Eric Aube
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Andrew Russman
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Muhammad Shazam Hussain
    Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.

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