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In addition, the AI was able to detect asymmetric thermal emission of 2.2 °C or greater, which can be indicative of pathology in a properly cooled participant [3,15,26,28,31,32].
The system used AI to process images efficiently and extract useful information. It made the findings more objective and minimized interobserver variability.
JMIR Diabetes 2025;10:e65209
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Using Real Electronic Health Records in Undergraduate Education: Roundtable Discussion
JMIR Form Res 2025;9:e60789
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We used statistical process control c Charts [18] to identify changes in enrollment and engagement over time. We used descriptive statistics to summarize categorical information from survey responses. We conducted descriptive statistics with SPSS (version 28; IBM Corp). Subgroup analyses were not conducted due to the small sample size. Missing data were excluded on an analysis-by-analysis basis.
JMIR Form Res 2025;9:e70206
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Addendum to "Harnessing ChatGPT for Thematic Analysis: Are We Ready?"
J Med Internet Res 2025;27:e68963
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The 1-way repeated measures ANOVA revealed a significant difference in sentence count among the 3 text groups, including the AI-generated text and its simplified versions (text 1: mean 15.2, SD 3.1 vs text 2: mean 17.2, SD 3.2 vs text 3: mean 17.5, SD 3.0; P
Analysis of (A) sentence count, (B) word count, and (C) proportion of long words in artificial intelligence (AI)–simplified radiology reports compared to original AI-generated reports (n=100). Data represent mean (SD).
J Med Internet Res 2025;27:e73337
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Effects of the intervention at postintervention (T1) and the 3-month follow-up (T2).
a PA: physical activity.
b RAPA: Rapid Assessment of Physical Activity Scale.
c Significant in favor of the intervention group.
d MVPA: moderate-to-vigorous physical activity.
e SEE-C: Exercise Self-Efficacy Scale—Chinese.
f SWEMWBS: Short Warwick-Edinburgh Mental Well-Being Scale.
JMIR Mhealth Uhealth 2025;13:e69259
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