Comparative analysis of ChatGPT and Google Gemini in creating patient education materials for lower extremity varicose veins and deep vein thrombosis.

Abstract

ObjectivesThis study compares the effectiveness of ChatGPT and Google Gemini in creating educational materials for patients with varicose veins and deep vein thrombosis of the lower extremities.MethodsIn this cross-sectional study, we used ChatGPT and Google Gemini to generate patient education materials for the two conditions. The materials were evaluated based on word count, sentence length, ease of understanding (using the Flesch-Kincaid calculator), similarity (analyzed with Quillbot), and reliability (assessed with a modified DISCERN score). Statistical analysis was performed using the unpaired t-test and Pearson correlation coefficient.ResultsThe analysis found no significant differences between the materials produced by ChatGPT and Google Gemini regarding readability, word count, sentence length, or reliability. Correlation analysis showed a positive relationship in usability scores between the two tools, while reliability scores were negatively correlated. However, these correlations were not statistically significant.ConclusionChatGPT and Google Gemini are equally effective in creating educational materials for patients with varicose veins and deep vein thrombosis of the lower extremities.