Empowering patients: how accurate and readable are large language models in renal cancer education
Although the PEM published by AUA being the most readable, both authoritative PEMs and Large Language Models (LLMs) generated outputs exceeded the recommended readability threshold for general population. AI Chatbots can simplify their outputs when explicitly instructed. However, notwithstanding their accuracy, LLMs-generated outputs are susceptible to detail omission and inaccuracies. The variability in AI performance necessitates cautious use as an adjunctive tool in patient education.
Authors
- Abdulghafour Halawani (ORCID: https://orcid.org/0000-0002-2112-9562)
- Bandar Alhubaishy (ORCID: https://orcid.org/0000-0002-9728-3072)
- Ziyad A Alnefaie
- Sultan G. Almehmadi
- M. Hasan
Institutions
- King Abdulaziz University (SA)
- Mohammed Bin Rashid University of Medicine and Health Sciences (AE)
- Mediclinic City Hospital (AE)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-09-26
- DOI
- https://doi.org/10.3389/fonc.2024.1457516
- Citations
- 13
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.56