Inductive reasoning with large language models: A simulated randomized controlled trial for epilepsy.

Journal: Epilepsy research
PMID: 40020525

Abstract

INTRODUCTION: To investigate the potential of using artificial intelligence (AI), specifically large language models (LLMs), for synthesizing information in a simulated randomized clinical trial (RCT) for an anti-seizure medication, cenobamate, demonstrating the feasibility of inductive reasoning via medical chart review.

Authors

  • Daniel M Goldenholz
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Shira R Goldenholz
    Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • Sara Habib
    Department of Neurology, Harvard Medical School, Boston, USA; Department of Neurology, Beth Israel Deaconess Medical Center, Boston, USA. Electronic address: shabib1@bidmc.harvard.edu.
  • M Brandon Westover
    Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.

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