Assessing AI Simplification of Medical Texts: Readability and Content Fidelity.

Journal: International journal of medical informatics
PMID: 39667051

Abstract

INTRODUCTION: The escalating complexity of medical literature necessitates tools to enhance readability for patients. This study aimed to evaluate the efficacy of ChatGPT-4 in simplifying neurology and neurosurgical abstracts and patient education materials (PEMs) while assessing content preservation using Latent Semantic Analysis (LSA).

Authors

  • Bryce Picton
    Department of Neurological Surgery, University of California, Irvine, Orange, CA, USA. Electronic address: bpicton@hs.uci.edu.
  • Saman Andalib
    School of Medicine, University of California, Irvine, Orange, CA, USA.
  • Aidin Spina
    School of Medicine, University of California, Irvine, Orange, CA, USA.
  • Brandon Camp
    School of Medicine, University of California, Irvine, Orange, CA, USA.
  • Sean S Solomon
    School of Medicine, University of California, Irvine, Orange, CA, USA.
  • Jason Liang
  • Patrick M Chen
    Department of Neurology, University of California, Irvine, Orange, CA, USA.
  • Jefferson W Chen
    Department of Neurosurgery, Irvine Medical Center, University of California, Orange , California , USA.
  • Frank P Hsu
    Department of Neurological Surgery, University of California, Irvine, Orange, CA, USA.
  • Michael Y Oh
    Department of Neurological Surgery, University of California, Irvine, Orange, CA, USA.

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