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Skip search results from other journals and go to results- 726 Journal of Medical Internet Research
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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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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach
JMIR Cancer 2025;11:e62833
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