Evaluating GPT-4 Responses on Scars or Keloids for Patient Education: Large Language Model Evaluation Study

GPT-4 has serious potential as a patient education tool for scars and keloids, offering reliable and accurate information. However, improvements in readability (to align with sixth to eighth grade standards) and reduction of reference hallucinations are essential to enhance accessibility and trustworthiness. Future large language model optimizations should prioritize simplifying medical language and strengthening reference validation mechanisms to maximize clinical utility.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-12-30
DOI
https://doi.org/10.2196/78838
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating GPT-4 Responses on Scars or Keloids for Patient Education: Large Language Model Evaluation Study

Tang Xiujun, Mingjun Rao, Wang Haoyu
JMIR Medical Informatics
Artificial Intelligence in Healthcare and Education
article

Evaluating GPT-4 Responses on Scars or Keloids for Patient Education: Large Language Model Evaluation Study

Tang Xiujun, Mingjun Rao, Wang Haoyu
article en

Abstract

GPT-4 has serious potential as a patient education tool for scars and keloids, offering reliable and accurate information. However, improvements in readability (to align with sixth to eighth grade standards) and reduction of reference hallucinations are essential to enhance accessibility and trustworthiness. Future large language model optimizations should prioritize simplifying medical language and strengthening reference validation mechanisms to maximize clinical utility.

JMIR Medical InformaticsVol. 14
Guizhou Provincial People's Hospital (CN)
Quality Education
Openalex Percentile: Top 38%
Artificial Intelligence in Healthcare and Education
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