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Making sense of artificial intelligence and large language models-including ChatGPT-in pediatric hematology/oncology.
Wyatt, Kirk D; Alexander, Natasha; Hills, Gerard D; Liang, Wayne H; Kadauke, Stephan; Volchenboum, Samuel L; Mian, Amir; Phillips, Charles A.
Afiliação
  • Wyatt KD; Department of Pediatric Hematology/Oncology, Roger Maris Cancer Center, Fargo, North Dakota, USA.
  • Alexander N; Data for the Common Good, University of Chicago, Chicago, Illinois, USA.
  • Hills GD; Division of Pediatric Hematology/Oncology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
  • Liang WH; Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA.
  • Kadauke S; Regenstrief Institute, Indianapolis, Indiana, USA.
  • Volchenboum SL; Riley Children's Health at Indiana University Health, Indianapolis, Indiana, USA.
  • Mian A; Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta and Emory University, Atlanta, Georgia, USA.
  • Phillips CA; Department of Pathology and Lab Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Pediatr Blood Cancer ; 71(9): e31143, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38924670
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Hematologia / Oncologia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Hematologia / Oncologia Idioma: En Ano de publicação: 2024 Tipo de documento: Article