Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation
LLM-supported tools can enhance caregivers' knowledge of pediatric oncology. Each model has unique strengths and areas for improvement, indicating the need for careful selection based on specific clinical contexts. Further research is required to explore their application in other medical specialties and patient demographics, assessing broader applicability and long-term impacts.
Authors
- Anthony Audino (ORCID: https://orcid.org/0000-0002-2597-1212)
- Mark Ranalli (ORCID: https://orcid.org/0000-0002-2645-1526)
- D Jackson (ORCID: https://orcid.org/0009-0009-4751-1063)
- A. Baki Kocaballı (ORCID: https://orcid.org/0000-0002-8328-5317)
- Micah Skeens (ORCID: https://orcid.org/0000-0001-6786-8128)
- Wendy Landier (ORCID: https://orcid.org/0000-0003-3319-5652)
- Mindy Bibart
- Emre Sezgın (ORCID: https://orcid.org/0000-0001-8798-9605)
- Sue Zupanec (ORCID: https://orcid.org/0000-0003-1755-7203)
Institutions
- Nationwide Children's Hospital (US)
- Hospital for Sick Children (CA)
- University of Alabama at Birmingham (US)
- The Ohio State University (US)
- Macquarie University (AU)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1002/cam4.70554
- Citations
- 14
- Primary Topic
- Childhood Cancer Survivors' Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 45.42