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Are large language models a useful resource to address common patient concerns on hallux valgus? A readability
William J Hlavinka1, Tarun R Sontam1, Anuj Gupta1
1Texas A&M School of Medicine, Baylor University Medical Center, Department of Medical Education, 3500 Gaston Avenue, 6-Roberts, Dallas, TX 75246, USA.
Background:
This study evaluates the accuracy and readability of Google, ChatGPT-3.5, and 4.0 (two versions of an artificial intelligence model) responses to common questions regarding bunion surgery.
Methods:
A Google search of "bunionectomy" was performed, and the first ten questions under "People Also Ask" were recorded. ChatGPT-3.5 and 4.0 were asked these ten questions individually, and their answers were analyzed using the Flesch-Kincaid Reading Ease and Gunning-Fog Level algorithms.
Results:
When compared to Google, ChatGPT-3.5 and 4.0 had a larger word count with 315 ± 39 words (p < .0001) and 294 ± 39 words (p < .0001), respectively. A significant difference was found between ChatGPT-3.5 and 4.0 compared to Google using Flesch-Kincaid Reading Ease (p < .0001).
Conclusions:
Our findings demonstrate that ChatGPT provided significantly lengthier responses than Google and there was a significant difference in reading ease. Both platforms exceeded the seventh to eighth-grade reading level of the U.S.
Level Of Evidence:
N/A.
