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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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The Applications of Large Language Models in Mental Health: Scoping Review
J Med Internet Res 2025;27:e69284
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The fourth author’s name has been corrected from:
Chu-Hsiang Huang
to:
Chun-Hsiang Huang
Additionally, the affiliation of authors Chun-Hsiang Huang, Chi-Hsin Chen, and Cheng-Yi Fan has been updated from:
3 Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan
to:
3 Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
Edward Pei-Chuan Huang’s affiliation has also been updated from:
3 Department of Emergency Medicine, National
JMIR AI 2025;4:e76150
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