Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation

Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation

ABSTRACT Purpose Caregivers in pediatric oncology need accurate and understandable information about their child's condition, treatment, and side effects. This study assesses the performance of publicly accessible large language model (LLM)‐supported tools in providing valuable and reliable inf...

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Bibliographic Details
Main Authors: Emre Sezgin, Daniel I. Jackson, A. Baki Kocaballi, Mindy Bibart, Sue Zupanec, Wendy Landier, Anthony Audino, Mark Ranalli, Micah Skeens
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Cancer Medicine
Subjects:
artificial intelligence
health care communication
health literacy
large language models
patient education
pediatric oncology
Online Access:https://doi.org/10.1002/cam4.70554
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