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Skip search results from other journals and go to results- 326 Journal of Medical Internet Research
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Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan
J Med Internet Res 2025;27:e69696
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Telehealth Interventions in Pharmacy Practice: Systematic Review of Reviews and Recommendations
J Med Internet Res 2025;27:e57129
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Yi et al [31] used three CNNs (VGG19, Res Net50, and Dense Net121) for predicting sarcopenia, achieving accuracies of 0.65-0.75 (based on grayscale ultrasound images) and 0.70-0.80 (based on shear-wave elastography images). Their study primarily focused on assessing the applicability of different CNNs for predicting sarcopenia based on ultrasound images. In this study, we compared three networks and selected the superior-performing Conv Ne Xt.
J Med Internet Res 2025;27:e70545
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