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.

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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
Controls
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article

Empowering patients: how accurate and readable are large language models in renal cancer education

Abdulghafour Halawani, Bandar Alhubaishy, Ziyad A Alnefaie, Sultan G. Almehmadi et al.
13 citations
Frontiers in Oncology
Artificial Intelligence in Healthcare and Education
1.56
article

Empowering patients: how accurate and readable are large language models in renal cancer education

Abdulghafour Halawani, Bandar Alhubaishy, Ziyad A Alnefaie, Sultan G. Almehmadi, M. Hasan
article en
13 citations

Abstract

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.

Frontiers in OncologyVol. 14
King Abdulaziz University (SA), Mohammed Bin Rashid University of Medicine and Health Sciences (AE), Mediclinic City Hospital (AE)
Quality Education
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
1.56
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