Utilizing natural language processing to improve abdominal aortic aneurysm surveillance.

Journal: Journal of vascular surgery
Published Date: May 23, 2025

Abstract

BACKGROUND: Screening and surveillance are essential to prevent aneurysm rupture. We used natural language processing (NLP) software to evaluate efficacy of aneurysm surveillance.

Authors

  • Kathryn DiLosa
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA. Electronic address: kldilosa@ucdavis.edu.
  • Matthew Schneck
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.
  • Emily Xu
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.
  • Aida Mushell
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.
  • Dena Sayrafi
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.
  • Steven Maximus
    Division of Vascular Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX.
  • Matthew Mell
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.
  • Misty Humphries
    Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.

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