Accuracy and consistency of online large language model-based artificial intelligence chat platforms in answering patients' questions about heart failure.

Journal: International journal of cardiology
Published Date: Apr 30, 2024

Abstract

BACKGROUND: Heart failure (HF) is a prevalent condition associated with significant morbidity. Patients may have questions that they feel embarrassed to ask or will face delays awaiting responses from their healthcare providers which may impact their health behavior. We aimed to investigate the potential of large language model (LLM) based artificial intelligence (AI) chat platforms in complementing the delivery of patient-centered care.

Authors

  • Elie Kozaily
    Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Mabelissa Geagea
    Division of Cardiology, Department of Medicine, Hotel-Dieu de France, Beirut, Lebanon.
  • Ecem R Akdogan
    Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Jessica Atkins
    Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Mohamed B Elshazly
    Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA; Orlando Health Heart & Vascular Institute-Longwood, Longwood, FL, USA.
  • Maya Guglin
    Division of Cardiovascular Medicine, Linda and Jack Gill Heart Institute, University of Kentucky, Lexington, KY, USA.
  • Ryan J Tedford
    Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Ramsey M Wehbe
    Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA. Electronic address: https://twitter.com/ramseywehbemd.

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