Making sense of artificial intelligence and large language models-including ChatGPT-in pediatric hematology/oncology.

Journal: Pediatric blood & cancer
Published Date: Jun 26, 2024

Abstract

ChatGPT and other artificial intelligence (AI) systems have captivated the attention of healthcare providers and researchers for their potential to improve care processes and outcomes. While these technologies hold promise to automate processes, increase efficiency, and reduce cognitive burden, their use also carries risks. In this commentary, we review basic concepts of AI, outline some of the capabilities and limitations of currently available tools, discuss current and future applications in pediatric hematology/oncology, and provide an evaluation and implementation framework that can be used by pediatric hematologist/oncologists considering the use of AI in clinical practice.

Authors

  • Kirk D Wyatt
    Division of Pediatric Hematology/Oncology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Minnesota, United States.
  • Natasha Alexander
    Division of Pediatric Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Gerard D Hills
    Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Wayne H Liang
    Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Emory University, Atlanta, Georgia, USA.
  • Stephan Kadauke
    Department of Pathology, University of Pennsylvania, Philadelphia.
  • Samuel L Volchenboum
    The University of Chicago, Chicago, IL.
  • Amir Mian
    Division of Pediatric Hematology/Oncology, Department of Pediatrics, Dell Children's Hospital, Austin, Texas, USA.
  • Charles A Phillips
    Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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