Making sense of artificial intelligence and large language models—including ChatGPT—in pediatric hematology/oncology-Reference-Cited by-同舟云学术

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

Published:2024-06-26 Issue:9 Volume:71 Page:
ISSN:1545-5009
Container-title:Pediatric Blood & Cancer
language:en
Short-container-title:Pediatric Blood & Cancer

Author:

Wyatt Kirk D.¹²^ORCID,Alexander Natasha³^ORCID,Hills Gerard D.⁴⁵⁶,Liang Wayne H.⁷^ORCID,Kadauke Stephan⁸⁹,Volchenboum Samuel L.²¹⁰,Mian Amir¹¹¹²,Phillips Charles A.¹³¹⁴^ORCID

Affiliation:

1. Department of Pediatric Hematology/Oncology Roger Maris Cancer Center Fargo North Dakota USA

2. Data for the Common Good University of Chicago Chicago Illinois USA

3. Division of Pediatric Hematology/Oncology Department of Pediatrics The Hospital for Sick Children University of Toronto Toronto Ontario Canada

4. Department of Pediatrics Indiana University School of Medicine Indianapolis Indiana USA

5. Regenstrief Institute Indianapolis Indiana USA

6. Riley Children's Health at Indiana University Health Indianapolis Indiana USA

7. Aflac Cancer and Blood Disorders Center Children's Healthcare of Atlanta and Emory University Atlanta Georgia USA

8. Department of Pathology and Lab Medicine University of Pennsylvania Philadelphia Pennsylvania USA

9. Cell and Gene Therapy Informatics Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

10. Department of Pediatrics University of Chicago Chicago Illinois USA

11. Division of Pediatric Hematology/Oncology Department of Pediatrics Dell Children's Hospital Austin Texas USA

12. Dell Medical School University of Texas at Austin Austin Texas USA

13. Department of Pediatrics University of Pennsylvania Philadelphia Pennsylvania USA

14. Department of Biomedical and Health Informatics Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

Abstract

AbstractChatGPT 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.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pbc.31143

Reference51 articles.

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1. Comment on: Artificial intelligence and large language models—including ChatGPT—in pediatric hematology/oncology;Pediatric Blood & Cancer;2024-07-08