Generative Pre-trained Transformer for Pediatric Stroke Research: A Pilot Study.

Journal: Pediatric neurology
Published Date: Jul 8, 2024

Abstract

BACKGROUND: Pediatric stroke is an important cause of morbidity in children. Although research can be challenging, large amounts of data have been captured through collaborative efforts in the International Pediatric Stroke Study (IPSS). This study explores the use of an advanced artificial intelligence program, the Generative Pre-trained Transformer (GPT), to enter pediatric stroke data into the IPSS.

Authors

  • Anna K Fiedler
    Division of Child Neurology, Department of Pediatrics, The University of Texas Health Science Center at Houston, Houston, Texas.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Tia S Lal
    UTHealth Houston Institute of Stroke and Cerebrovascular Diseases, Houston, Texas.
  • Xiaoqian Jiang
    School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA.
  • Stuart M Fraser
    Division of Child Neurology, Department of Pediatrics, The University of Texas Health Science Center at Houston, Houston, Texas; UTHealth Houston Institute of Stroke and Cerebrovascular Diseases, Houston, Texas. Electronic address: stuart.m.fraser@uth.tmc.edu.

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