Engineering of Generative Artificial Intelligence and Natural Language Processing Models to Accurately Identify Arrhythmia Recurrence.

Journal: Circulation. Arrhythmia and electrophysiology
PMID: 39676642

Abstract

BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT) excel at interpreting unstructured data from public sources, yet are limited when responding to queries on private repositories, such as electronic health records (EHRs). We hypothesized that prompt engineering could enhance the accuracy of LLMs for interpreting EHR data without requiring domain knowledge, thus expanding their utility for patients and personalized diagnostics.

Authors

  • Ruibin Feng
  • Kelly A Brennan
  • Zahra Azizi
    Stanford University School of Medicine, Stanford, CA.
  • Jatin Goyal
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Brototo Deb
    Department of Medicine, MedStar Georgetown University - Washington Hospital Center, Washington DC, USA.
  • Hui Ju Chang
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Prasanth Ganesan
    Stanford University Department of Medicine, Stanford, CA, United States of America.
  • Paul Clopton
    Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University.
  • Maxime Pedron
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Samuel Ruiperez-Campillo
  • Yaanik B Desai
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Hugo De Larochellière
    Department of Medicine, Stanford University, CA (R.F., K.A.B., Z.A., J.G., B.D., H.J.C., P.G., P.C., M. Pedron, S.R.-C., Y.B.D., H.D.L., T.B., M. V. P, M.R., A.J.R., S.M.N.).
  • Tina Baykaner
    Department of Medicine (M.I.A., A.J.R., J.A.B.Z., T.B., P.C., P.J.W., S.M.N.), Stanford University.
  • Marco V Perez
    Division of Cardiovascular Medicine, Stanford University, CA (S.M.N., M.V.P., M.P.T., P.J.W.).
  • Miguel Rodrigo
    Cardiovascular Division and Cardiovascular Institute, Stanford University, CA, USA; CoMMLab and Electronic Engineering Department, Universitat de Valencia, VA, Spain. Electronic address: miguel.rodrigo@uv.es.
  • Albert J Rogers
    Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.
  • Sanjiv M Narayan
    Biomedical Informatics Training Program (L.H., S.M.N.), Stanford University, CA.

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