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requirements for the LLMs, to produce educational content on 30 selected cancer care topics written at a sixth-grade reading level, limited to 250 words, and translated into Spanish and Chinese; (2) generating tailored educational content using 3 GPT models (GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo) with 2 prompt styles (textual and bulleted); (3) expert evaluation of the generated content’s adherence to word count, reading level, and 5 quality criteria; and (4) statistical analyses (ANOVA [analysis of variance] and chi-square
JMIR Cancer 2025;11:e67914
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For instance, Liu et al [22] assessed 29 different LLMs for generating impressions from radiological reports, using open-source datasets such as the MIMIC-CXR and Open I datasets. However, their study was limited to English x-ray reports and relied solely on automatic quantitative evaluation.
J Med Internet Res 2025;27:e65547
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Statistical significance for differences between the control and intervention groups was assessed using the Mann-Whitney U test for continuous variables, such as age, and the chi-square test for the remaining categorical variables. A 2-sample z test for equality of proportions, with a continuity correction, was used to assess whether the differences in retention rates between the intervention and control groups were statistically significant.
JMIR Form Res 2025;9:e67997
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Chi-square tests were used to compare the proportion of participants achieving clinically significant weight loss (≥5%, ≥10%, and ≥15% of baseline weight) between the engaged and nonengaged groups. In cases where small sample sizes or low expected frequencies were present (ie, n
To assess the time-to-event data for achieving clinically significant weight loss, Kaplan-Meier survival analysis was performed, comparing the time to reach ≥5%, ≥10%, and ≥15% weight loss between the engaged and nonengaged groups.
J Med Internet Res 2025;27:e69466
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We conducted descriptive analysis and assessed evaluators’ preference ratios for Chat GPT using a chi-square goodness-of-fit test. A 2-tailed Welch t test was used to compare the mean values of the 2 responses. We defined a threshold score of 3 (acceptable) and calculated the proportion exceeding or falling below this threshold score (3), comparing them using prevalence ratios.
J Med Internet Res 2025;27:e62857
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