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Skip search results from other journals and go to results- 706 Journal of Medical Internet Research
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Jing Lin and Woo-Rin Chang independently extracted this information using predefined Microsoft Excel (Table 4).
Subsequently, the authors thoroughly reviewed and validated the collected data to ensure accuracy and reliability. In cases of disagreement, consensus was reached through discussion. Finally, the data were organized and categorized for each specific outcome to enable a comprehensive assessment of the findings.
Characteristics of included studies.
JMIR Serious Games 2025;13:e60937
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For example, Chen et al [23] developed a diagnostic model for sarcopenia based on age, cross-sectional area changes, and shear wave elasticity value changes, yielding an AUC of 0.883. Tang et al [24] developed an ultrasound-derived muscle assessment system based on muscle thickness, handgrip strength, and gait speed. The system had an overall diagnostic sensitivity of 92.7% and a specificity of 91% for sarcopenia.
J Med Internet Res 2025;27:e70545
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Implementation of Telemedicine for Patients With Dementia and Their Caregivers: Scoping Review
J Med Internet Res 2025;27:e65667
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Based on data from the validation cohort, Chen et al [19] noted that the ML model based on both radiomics and CFs achieved the highest C-index of 0.869 (95% CI 0.783-0.955), with SEN and SPC of 0.759 and 0.821. Additional studies are warranted to corroborate the use of radiomics for tumor grading.
As for the training group, the pooled C-index of the CFs-based models was 0.726 (95% CI 0.662-0.790). SEN and SPC were not given in the included studies.
J Med Internet Res 2025;27:e69906
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