JMIR mHealth and uHealth

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Effectiveness of an mHealth- and School-Based Health Education Program for Salt Reduction (EduSaltS) in China: Cluster Randomized Controlled Trial Within Scale-Up

Naibo Wang, Chen Wang, Puhong Zhang, Yinghua Li, Feng J He, Li Li, Yuan Li, Rong Luo, Dezhi Wan, Lewei Xu, Lifang Deng, Lei Wu

J Med Internet Res 2025;27:e60092

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Policy Spotlight Effects on Critical Time-Sensitive Diseases: Nationwide Retrospective Cohort Study on Taiwan’s Hospital Emergency Capability Categorization Policy

Chih-Yuan Lin, Chih-Ching Liu, Yu-Tung Huang, Yue-Chune Lee

Interact J Med Res 2025;14:e54651

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Edentulousness and the Likelihood of Becoming a Centenarian: Longitudinal Observational Study

Xindi Wei, Longfei Zhuang, Yuan Li, Junyu Shi, Yijie Yang, Hongchang Lai, Beilei Liu

JMIR Aging 2025;8:e68444

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Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Our team collected these recordings at the emergency department of the Hsin-Chu Branch at the National Taiwan University Hospital (NTUH). We used the Ca RDIa RT DS101 electronic stethoscope, where each recording is 10 seconds long. To ensure the accuracy of the annotations, a team of 7 senior physicians meticulously annotated the audio samples. The annotations focused on identifying coarse crackles, wheezes, or normal respiratory sounds.

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chu-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee