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The accuracy rates of 130 choice questions across 8 groups were compared using the chi-square test, with Bonferroni correction applied to adjust P values for detecting intergroup differences. For the 23 common questions, the Friedman test was used to compare each chatbot’s evaluation scores and readability scores, followed by post-hoc pairwise comparisons using the Dunnett test. A two-sample t test was used to compare the mean response scores of GPT o1-Preview and Ernie 3.5.
J Med Internet Res 2025;27:e67883
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Differences were analyzed using the chi-square test.
a TZ: transformation zone.
b SCJ: squamocolumnar junction.
c CIN: cervical intraepithelial neoplasia.
Cervix detection with a bounding box was used for feature engineering. Proper cervix extraction improved classification accuracy. A total of 8335 cervix images were investigated and resized to 224×224 pixels before being input into the classification model. Out of these, 1663 images were used to evaluate the model’s performance.
JMIR Cancer 2025;11:e69672
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